Social Media Links

Join our talent pool by simply submitting your resume. We’ll inform you about the new jobs matching your profile and update you if you are the best fit for one of our open positions.

Join Talent Pool

<div style="">External Job Description</div><div style="">We are looking for an experienced US Healthcare Tech Consultant / EHR Analyst with strong knowledge of healthcare data platforms and Electronic Health Records.</div><div style=""><br></div><div style="">- Work with Epic Clarity / Caboodle or Cerner HealtheIntent / Millennium reporting databases</div><div style="">- Extract and analyze EHR data for healthcare analytics</div><div style="">- Support healthcare analytics pipelines</div><div style="">- Collaborate with data engineers and healthcare stakeholders</div><div style="">- Translate healthcare reporting requirements into analytical datasets</div><div style=""><br></div><div style=""><br></div><div style="">Healthcare Informatics, EHR Analytics, Epic Clarity, Epic Caboodle, Cerner HealtheIntent, Cerner Millennium, Healthcare Data Pipelines, SQL, Clinical Data Models</div>

Remote

US Healthcare Tech Consultant / EHR Analyst 

<div style="">We are looking for a Senior Azure Synapse Performance Architect with expertise in optimizing large-scale analytics workloads on Azure Synapse.</div><div style=""><br></div><div style="">Key Responsibilities</div><div style="">- Optimize Azure Synapse compute, storage, and workload performance</div><div style="">- Analyze query plans and performance bottlenecks</div><div style="">- Implement partitioning, indexing, and table distribution strategies</div><div style="">- Use Synapse DMVs, Query Performance Insights, and Explain Plan</div><div style="">- Work with data engineering teams to optimize analytics pipelines</div><div style=""><br></div><div style=""><br></div>

Pune Office

Senior Azure Synapse Performance Architect

<div style=""><b style="font-weight: 700">About the Role</b></div><div style="">We are looking for a highly presentable, confident, and well-spoken Front Desk Executive to manage the reception area at our corporate IT office in Kharadi, Pune.</div><div style="">The candidate will act as the first point of contact for visitors, clients, and employees, ensuring a professional, organized, and welcoming office environment while supporting administrative and coordination activities.</div><div style=""><b style="font-weight: 700">Key Responsibilities</b></div><div style="">• Welcome and greet visitors, clients, and interview candidates in a professional manner. <br>• Manage front desk operations, including handling incoming calls, emails, and inquiries. <br>• Maintain visitor logs and entry records as per company policy and security protocols. <br>• Coordinate meeting room bookings and assist with meeting arrangements. <br>• Handle couriers, office deliveries, and mail distribution efficiently. <br>• Support the HR and Admin teams with interview coordination and office activities. <br>• Ensure the reception area is clean, organized, and presentable at all times. <br>• Coordinate with internal teams for general office administration support. <br>• Assist with vendor coordination and basic office management tasks when required.</div><div style=""><b style="font-weight: 700">Required Skills</b></div><div style="">• Excellent communication skills (English &amp; Hindi) <br>• Pleasant personality with strong corporate etiquette and professionalism <br>• Good knowledge of MS Office (Word, Excel, Outlook) <br>• Strong organizational and multitasking abilities <br>• Ability to handle visitors and senior stakeholders professionally</div><div style=""><b style="font-weight: 700">Qualification</b></div><div style="">• <b style="font-weight: 700">Graduate in any discipline</b></div><div style=""><b style="font-weight: 700">Preferred</b></div><div style="">• Prior experience as Front Desk Executive / Receptionist / Admin Executive in a corporate or IT office environment <br>• Candidates staying near Kharadi / Wagholi / Viman Nagar</div><div style=""><b style="font-weight: 700">What We Offer</b></div><div style="">• Professional corporate work environment <br>• Opportunity to work with a growing IT organization <br>• Stable day-shift role (Monday to Friday) <br>• Friendly and collaborative office culture</div>

Office Manager

<div style=""><br></div><h1 style="font-size: 2em">Job Description</h1><h2 style="font-size: 1.5em">Senior Project Manager – Databricks Implementation</h2><div style=""><b style="font-weight: 700">Company:</b> Hoonartek<br><b style="font-weight: 700">Location:</b> Pune / Hyderabad / Bangalore (Hybrid)<br><b style="font-weight: 700">Experience:</b> 12–18 Years</div><h2 style="font-size: 1.5em">Role Overview</h2><div style="">Hoonartek is looking for a <b style="font-weight: 700">Senior Project Manager – Databricks Implementation</b> to lead the delivery of enterprise-scale <b style="font-weight: 700">Databricks Lakehouse projects and data platform modernization initiatives</b>.</div><div style="">The role will be responsible for managing <b style="font-weight: 700">end-to-end project delivery</b>, coordinating with solution architects and engineering teams, and ensuring successful implementation of Databricks-based data and analytics platforms for enterprise clients.</div><div style="">The ideal candidate will combine <b style="font-weight: 700">strong project management capabilities with a solid understanding of modern data engineering and analytics platforms</b>.</div><h1 style="font-size: 2em">Key Responsibilities</h1><h3 style="font-size: 1.17em">1. Project Leadership</h3><ul>  <li style="">Lead <b style="font-weight: 700">end-to-end Databricks implementation projects</b> for enterprise clients.</li>  <li style="">Define project scope, delivery milestones, and implementation roadmaps.</li>  <li style="">Manage project schedules, resources, risks, and dependencies.</li>  <li style="">Ensure delivery of projects <b style="font-weight: 700">on time, within scope, and within budget</b>.</li></ul><h3 style="font-size: 1.17em">2. Program &amp; Delivery Management</h3><ul>  <li style="">Manage multiple <b style="font-weight: 700">data platform and analytics initiatives</b> built on Databricks.</li>  <li style="">Drive structured delivery using <b style="font-weight: 700">Agile / Scrum methodologies</b>.</li>  <li style="">Monitor project progress and provide <b style="font-weight: 700">regular executive updates</b> to stakeholders.</li>  <li style="">Establish project governance, reporting, and escalation mechanisms.</li></ul><h3 style="font-size: 1.17em">3. Client Engagement &amp; Stakeholder Management</h3><ul>  <li style="">Act as the <b style="font-weight: 700">primary point of contact for client stakeholders</b> during project delivery.</li>  <li style="">Coordinate with <b style="font-weight: 700">client data, architecture, and analytics teams</b>.</li>  <li style="">Facilitate technical and business workshops to align project objectives and delivery outcomes.</li></ul><h3 style="font-size: 1.17em">4. Technical Coordination</h3><div style="">Work closely with architects and engineering teams delivering:</div><ul>  <li style="">Databricks Lakehouse implementations</li>  <li style="">Data ingestion and transformation pipelines</li>  <li style="">Delta Lake data architecture</li>  <li style="">Data warehousing and analytics workloads</li>  <li style="">Integration with BI platforms such as Power BI, Tableau, or Databricks AI/BI</li></ul><div style="">Ensure that project delivery aligns with <b style="font-weight: 700">best practices for scalability, performance, and data governance</b>.</div><h3 style="font-size: 1.17em">5. Partnership &amp; Solution Alignment</h3><ul>  <li style="">Support Hoonartek’s <b style="font-weight: 700">Databricks partnership initiatives</b>.</li>  <li style="">Coordinate with internal solution teams for architecture alignment.</li>  <li style="">Contribute to solution discussions and delivery planning for new engagements.</li></ul><h3 style="font-size: 1.17em">6. Delivery Governance</h3><ul>  <li style="">Track project KPIs including <b style="font-weight: 700">milestones, utilization, revenue realization, and delivery quality</b>.</li>  <li style="">Maintain delivery documentation, project plans, and status reporting.</li>  <li style="">Identify delivery risks early and drive mitigation plans.</li></ul><h1 style="font-size: 2em">Required Skills</h1><h2 style="font-size: 1.5em">Technical Understanding</h2><div style="">Strong conceptual knowledge of:</div><ul>  <li style="">Databricks Lakehouse Platform</li>  <li style="">Apache Spark / PySpark</li>  <li style="">Modern Data Engineering architectures</li>  <li style="">Cloud platforms (Azure / AWS / GCP)</li>  <li style="">Data warehousing and analytics ecosystems</li></ul><div style="">Good to have familiarity with:</div><ul>  <li style="">Delta Lake</li>  <li style="">MLflow</li>  <li style="">Unity Catalog</li>  <li style="">Databricks AI/BI</li>  <li style="">Data governance frameworks</li></ul><h2 style="font-size: 1.5em">Project Management Skills</h2><ul>  <li style="">Agile / Scrum delivery methodologies</li>  <li style="">Enterprise data platform implementations</li>  <li style="">Stakeholder and client management</li>  <li style="">Risk and issue management</li></ul><h1 style="font-size: 2em">Experience Requirements</h1><ul>  <li style=""><b style="font-weight: 700">12–18 years of experience</b> in IT delivery / data platform programs</li>  <li style="">Experience managing <b style="font-weight: 700">data engineering or analytics platform projects</b></li>  <li style="">Exposure to <b style="font-weight: 700">Databricks ecosystem preferred</b></li>  <li style="">Experience working with <b style="font-weight: 700">enterprise clients in BFSI, Telecom, Pharma, or similar industries</b></li></ul><h1 style="font-size: 2em">Soft Skills</h1><ul>  <li style="">Strong client communication and presentation skills</li>  <li style="">Ability to lead cross-functional technical teams</li>  <li style="">Structured thinking and problem-solving approach</li>  <li style="">Ability to manage complex multi-stream projects</li></ul><h1 style="font-size: 2em">Education</h1><div style="">Bachelor’s or Master’s degree in <b style="font-weight: 700">Computer Science / Engineering / Information Technology</b> or related field.</div><div style="">If you want, I can also create a <b style="font-weight: 700">much stronger hiring version used by consulting firms</b> — titled <b style="font-weight: 700">“Databricks Program Manager / Delivery Lead”</b>, which typically attracts <b style="font-weight: 700">better candidates than “Project Manager” roles.</b></div>

IDFC - Bangalore

Data Bricks Sr PM

<h4 style="font-size: 1em"><b style="font-weight: 700">Key Responsibilities</b></h4><ul>  <li style="">Build, train, and deploy <b style="font-weight: 700">machine learning models</b> for predictive analytics, optimization, and business intelligence use cases.</li>  <li style="">Perform <b style="font-weight: 700">Exploratory Data Analysis (EDA)</b> to uncover patterns, trends, and actionable insights from structured and large-scale datasets.</li>  <li style="">Develop <b style="font-weight: 700">feature engineering pipelines and feature stores</b> to enable scalable and reusable ML workflows.</li>  <li style="">Design <b style="font-weight: 700">end-to-end data science solutions</b> covering data preparation, model development, validation, and deployment.</li>  <li style="">Implement <b style="font-weight: 700">MLOps practices</b> to manage model lifecycle including versioning, monitoring, and continuous improvement.</li>  <li style="">Work with <b style="font-weight: 700">Databricks and Spark environments</b> for large-scale data analysis and model development.</li>  <li style="">Deploy and manage ML models using <b style="font-weight: 700">GCP services such as Vertex AI</b> or similar cloud ML platforms.</li>  <li style="">Collaborate with <b style="font-weight: 700">business stakeholders, data engineers, and analytics teams</b> to translate business problems into AI-driven solutions.</li>  <li style="">Evaluate and improve model performance using <b style="font-weight: 700">experimentation, hyperparameter tuning, and validation techniques</b>.</li></ul><h3 style="font-size: 1.17em"><b style="font-weight: 700">Core Skills Required</b></h3><ul>  <li style="">Strong hands-on experience in <b style="font-weight: 700">Machine Learning, Statistical Modeling, and Predictive Analytics</b>.</li>  <li style="">Proficiency in <b style="font-weight: 700">Python (Pandas, NumPy, Scikit-learn)</b> for data analysis and model development.</li>  <li style="">Experience working with <b style="font-weight: 700">Databricks (DBx) and Spark / PySpark</b> environments.</li>  <li style="">Hands-on experience with <b style="font-weight: 700">MLOps frameworks and model lifecycle management</b>.</li>  <li style="">Experience deploying or managing ML models on <b style="font-weight: 700">GCP (Vertex AI) or similar cloud ML platforms</b>.</li>  <li style="">Strong knowledge of <b style="font-weight: 700">Feature Engineering, Feature Store concepts, and ML experimentation</b>.</li>  <li style="">Expertise in <b style="font-weight: 700">EDA, model evaluation, and performance optimization techniques</b>.</li></ul><h3 style="font-size: 1.17em"><b style="font-weight: 700">Good to Have</b></h3><ul>  <li style="">Experience with <b style="font-weight: 700">MLflow, Databricks Feature Store, or model monitoring tools</b>.</li>  <li style="">Exposure to <b style="font-weight: 700">CI/CD pipelines for ML deployment</b>.</li>  <li style="">Experience working with <b style="font-weight: 700">large-scale distributed datasets</b>.</li>  <li style="">Domain knowledge in <b style="font-weight: 700">BFSI, fraud analytics, risk modeling, or customer analytics</b>.</li></ul>

Data Scientist - AI / ML 

<div style="">&nbsp;<u><b style="font-weight: 700">Lead MLOps Engineer (4–5 Years Experience)</b></u></div><div style="">Role: Lead MLOps Engineer</div><div style="">Experience: 4-5 Years</div><div style="">Employment Type: Full-Time</div><div style=""><u><b style="font-weight: 700">About the Role</b></u></div><div style="">We are looking for a highly hands-on Lead MLOps Engineer who can both build production-grade ML systems and mentor junior engineers.</div><div style="">This is not a pure architecture role.You will actively contribute to delivery while defining engineering standards, building reusable frameworks, and grooming a team of junior AI engineers.</div><div style="">The ideal candidate is someone who has shipped ML systems to production, understands cloud deeply, and is comfortable operating in fast-paced delivery environments.</div><div style=""><u><b style="font-weight: 700">What You Will Do</b></u></div><div style=""><u><b style="font-weight: 700">Hands-on Delivery (Primary Responsibility)</b></u></div><div style="">Design and deploy end-to-end ML pipelines in production</div><div style="">Build scalable training and inference workflows</div><div style="">Implement CI/CD pipelines for ML systems</div><div style="">Deploy models using containerized environments (Docker, Kubernetes)</div><div style="">Work across cloud platforms (GCP / Azure preferred)</div><div style="">Troubleshoot production issues, latency, drift, and infra bottlenecks</div><div style="">Ensure cost optimization and performance tuning</div><div style="">You will be expected to write production-quality Python code daily.</div><div style=""><u><b style="font-weight: 700">Architecture &amp; Standards</b></u></div><div style="">Define MLOps best practices across projects</div><div style="">Set up experiment tracking and model registry (MLflow or equivalent)</div><div style="">Define repository structure and branching strategies</div><div style="">Establish monitoring and alerting mechanisms</div><div style="">Implement model performance and data drift monitoring</div><div style="">Create reusable deployment templates</div><div style=""><u><b style="font-weight: 700">Team Mentorship &amp; Grooming</b></u></div><div style="">Mentor 4–5 junior AI engineers</div><div style="">Conduct code reviews and enforce coding standards</div><div style="">Help juniors move from prototype-level code to production-grade systems</div><div style="">Define internal learning roadmap for MLOps maturity</div><div style=""><u><b style="font-weight: 700">Required Skills &amp; Qualifications</b></u></div><div style=""><u><b style="font-weight: 700">Core Engineering</b></u></div><div style="">4-5 years of experience in ML Engineering / MLOps</div><div style=""><u><b style="font-weight: 700">Strong hands-on expertise in Python</b></u></div><div style="">Deep understanding of ML lifecycle (training → evaluation → deployment → monitoring)</div><div style="">Experience with PyTorch / TensorFlow or similar frameworks</div><div style="">Strong debugging and performance optimization skills</div><div style=""><u><b style="font-weight: 700">Cloud &amp; Infrastructure</b></u></div><div style="">Hands-on experience with GCP and/or Azure</div><div style="">GCP: Vertex AI, GKE, Cloud Run, Cloud Storage</div><div style="">Azure: Azure ML, AKS, Azure DevOps</div><div style="">Experience working across multiple cloud environments</div><div style="">Containerization with Docker</div><div style="">Kubernetes-based deployment</div><div style="">Infrastructure-as-Code exposure (Terraform preferred)</div><div style=""><u><b style="font-weight: 700">DevOps &amp; Automation</b></u></div><div style="">CI/CD pipeline implementation (GitHub Actions / Azure DevOps / Cloud Build)</div><div style="">Experience with MLflow (experiment tracking &amp; model registry)</div><div style=""><u><b style="font-weight: 700">Git-based workflows</b></u></div><div style="">Monitoring tools (Prometheus, Grafana, cloud-native monitoring)</div><div style=""><u><b style="font-weight: 700">What We Are Specifically Looking For</b></u></div><div style="">Someone who has taken ML systems from notebook to production independently</div><div style="">Comfortable handling ambiguous problem statements</div><div style="">Can debug failing pipelines quickly</div><div style="">Has worked in real production environments (not just PoCs)</div><div style="">Able to balance delivery pressure and long-term engineering standards</div><div style=""><u><b style="font-weight: 700">What This Role Is NOT</b></u></div><div style="">Not a research-only ML role</div><div style="">Not a slide-driven architecture role</div><div style="">Not a pure DevOps role without ML understanding</div><div style="">This is a delivery-first leadership role.</div><div style=""><u><b style="font-weight: 700">Preferred / Good to Have</b></u></div><div style="">Experience with LLMOps or GenAI pipelines</div><div style="">Experience building APIs (FastAPI preferred)</div><div style="">Understanding of security best practices in ML systems</div>

Lead ML Ops 

<h2 style="font-size: 1.5em">Job Description</h2><div style=""><b style="font-weight: 700">Role:</b> Delivery PMO – Delivery Operations<br><b style="font-weight: 700">Experience:</b> 6–10 Years<br><b style="font-weight: 700">Location:</b> Pune<br><b style="font-weight: 700">Industry:</b> IT Services / Data &amp; Digital Programs</div><h2 style="font-size: 1.5em">1. Role Summary</h2><div style="">We are hiring a Delivery PMO professional with strong Excel proficiency and client-facing experience. The role will support delivery operations, billing governance, utilization tracking, bench management, revenue realization, attrition monitoring, and direct coordination with clients for operational matters such as interview scheduling and purchase order follow-ups.</div><div style="">This position requires strong financial orientation, structured reporting discipline, and the ability to interact confidently with both internal leadership and external clients.</div><h2 style="font-size: 1.5em">2. Key Responsibilities</h2><h3 style="font-size: 1.17em">A. Billing &amp; Revenue Governance</h3><ul>  <li style="">Track monthly billing cycles across accounts and projects.</li>  <li style="">Validate billing inputs against SOWs, rate cards, and timesheets.</li>  <li style="">Monitor revenue realization vs planned revenue.</li>  <li style="">Follow up with clients for invoice approvals and payment tracking.</li>  <li style="">Coordinate internally with Finance for billing accuracy and closure.</li></ul><h3 style="font-size: 1.17em">B. Utilization &amp; Resource Management</h3><ul>  <li style="">Track billable vs non-billable utilization across projects.</li>  <li style="">Identify under-utilized resources and highlight corrective actions.</li>  <li style="">Maintain rolling forecast for capacity vs demand.</li>  <li style="">Prepare utilization MIS for leadership review.</li></ul><h3 style="font-size: 1.17em">C. Bench Management</h3><ul>  <li style="">Maintain real-time bench tracker (skill set, experience, availability).</li>  <li style="">Monitor bench aging and cost impact.</li>  <li style="">Support deployment planning to reduce bench exposure.</li></ul><h3 style="font-size: 1.17em">D. Client Coordination</h3><ul>  <li style="">Coordinate with clients for interview scheduling and slot management.</li>  <li style="">Follow up on pending Purchase Orders (POs).</li>  <li style="">Track onboarding status and ensure smooth resource deployment.</li>  <li style="">Support client governance calls with operational data and updates.</li></ul><h3 style="font-size: 1.17em">E. Attrition &amp; Workforce Analytics</h3><ul>  <li style="">Track monthly attrition trends and backfill requirements.</li>  <li style="">Coordinate with recruitment for replacement planning.</li>  <li style="">Publish workforce stability reports.</li></ul><h3 style="font-size: 1.17em">F. Reporting &amp; MIS</h3><ul>  <li style="">Prepare weekly/monthly dashboards covering Revenue, Utilization, Bench, Margin, Attrition.</li>  <li style="">Maintain data accuracy and ensure timely reporting.</li>  <li style="">Automate reports using advanced Excel capabilities.</li></ul><h2 style="font-size: 1.5em">3. Mandatory Skills</h2><ul>  <li style="">6–10 years of experience in Delivery PMO / Operations PMO within IT services.</li>  <li style="">Strong Excel skills (Advanced formulas, Pivot Tables, VLOOKUP/XLOOKUP, dashboards, data validation).</li>  <li style="">Client-facing exposure with professional communication skills.</li>  <li style="">Experience in billing governance and revenue tracking.</li>  <li style="">Understanding of IT commercial models (T&amp;M, Fixed Price).</li>  <li style="">Ability to coordinate with multiple stakeholders (Delivery, Finance, HR, Clients).</li></ul><h2 style="font-size: 1.5em">4. Key Metrics Ownership</h2><ul>  <li style="">Utilization %</li>  <li style="">Bench % &amp; Aging</li>  <li style="">Revenue Realization %</li>  <li style="">Billing Accuracy</li>  <li style="">Attrition Rate</li>  <li style="">PO &amp; Onboarding Cycle Time</li></ul><h2 style="font-size: 1.5em">5. Key Competencies</h2><ul>  <li style="">Strong analytical and numerical capability</li>  <li style="">Structured and detail-oriented approach</li>  <li style="">Proactive client communication</li>  <li style="">High ownership mindset</li>  <li style="">Ability to work in fast-paced delivery environments</li></ul><div style=""><br></div>

Delivery PMO

<h2 style="font-size: 1.5em">Job Description</h2><div style=""><b style="font-weight: 700">Role:</b> IT Services Delivery Manager – BFSI (Data Engineering Focus)<br><b style="font-weight: 700">Location:</b> Hyderabad<br><b style="font-weight: 700">Experience Range:</b> 16–22 Years<br><b style="font-weight: 700">Industry:</b> BFSI (Banking, Financial Services &amp; Insurance)</div><h3 style="font-size: 1.17em">1. Role Summary</h3><div style="">We are seeking a senior IT Services Delivery Manager with strong experience in BFSI programs, data engineering platforms, and large-scale transformation initiatives. The candidate will be responsible for end-to-end service delivery, program governance, stakeholder management, and operational excellence across data and analytics engagements. Exposure to AI/ML-driven solutions will be an added advantage.</div><div style="">This role requires a balance of delivery leadership, technical depth in modern data platforms, and strong commercial acumen.</div><h3 style="font-size: 1.17em">2. Key Responsibilities</h3><h4 style="font-size: 1em">A. Delivery &amp; Program Management</h4><ul>  <li style="">Own end-to-end delivery of BFSI technology programs (Data, Analytics, Regulatory, Risk, Digital).</li>  <li style="">Drive execution across multi-vendor and multi-technology environments.</li>  <li style="">Establish delivery governance, RAID management, and KPI tracking.</li>  <li style="">Ensure adherence to SLAs, cost, quality, and timelines.</li>  <li style="">Manage change requests, scope management, and client escalations.</li></ul><h4 style="font-size: 1em">B. Data Engineering Leadership</h4><ul>  <li style="">Oversee implementation and modernization of data platforms (Cloud Data Lakes, Lakehouse, EDW).</li>  <li style="">Lead teams working on ETL/ELT, big data, real-time streaming, and regulatory reporting.</li>  <li style="">Govern data quality, lineage, metadata management, and data governance frameworks.</li>  <li style="">Ensure performance optimization and cost efficiency of data pipelines.</li></ul><h4 style="font-size: 1em">C. Stakeholder &amp; Client Management</h4><ul>  <li style="">Interface with CXOs, CIOs, CDOs, and senior business stakeholders.</li>  <li style="">Conduct steering committee reviews and executive reporting.</li>  <li style="">Translate business requirements into scalable technical solutions.</li>  <li style="">Drive customer satisfaction and account growth.</li></ul><h4 style="font-size: 1em">D. Team &amp; Operational Management</h4><ul>  <li style="">Lead large distributed teams (50–150 members).</li>  <li style="">Mentor delivery managers, architects, and technical leads.</li>  <li style="">Workforce planning, utilization tracking, and margin management.</li>  <li style="">Foster a culture of accountability and continuous improvement.</li></ul><h4 style="font-size: 1em">E. AI / Advanced Analytics Exposure (Nice to Have)</h4><ul>  <li style="">Exposure to AI-driven data platforms, GenAI use cases, and automation.</li>  <li style="">Understanding of ML pipelines, model lifecycle management, or AI-led observability.</li>  <li style="">Experience integrating AI with BFSI analytics or decision systems is a plus.</li></ul><h3 style="font-size: 1.17em">3. Required Qualifications</h3><ul>  <li style="">Bachelor’s degree in Engineering / Technology; Master’s degree preferred.</li>  <li style="">16–22 years of overall IT experience.</li>  <li style="">Minimum 8+ years in delivery leadership roles.</li>  <li style="">Strong BFSI domain knowledge (Core Banking, Risk, Compliance, Regulatory Reporting, Payments, Lending, Wealth, etc.).</li>  <li style="">Experience in data engineering ecosystems (Cloud + On-Prem).</li>  <li style="">Proven track record managing multi-million-dollar programs.</li>  <li style="">Strong understanding of Agile, DevOps, and ITIL practices.</li></ul><h3 style="font-size: 1.17em">4. Technical Exposure (Indicative)</h3><ul>  <li style="">Cloud Platforms: Azure / AWS / GCP</li>  <li style="">Data Platforms: Databricks, Snowflake, Hadoop Ecosystems</li>  <li style="">ETL Tools: Informatica / Ab Initio / DataStage / Spark</li>  <li style="">BI &amp; Analytics: Power BI / Tableau</li>  <li style="">Data Governance: Collibra / Informatica EDC / Metadata frameworks</li></ul><h3 style="font-size: 1.17em">5. Competencies</h3><ul>  <li style="">Executive communication and influencing skills</li>  <li style="">Strong financial acumen (P&amp;L management)</li>  <li style="">Risk and compliance awareness in BFSI</li>  <li style="">Structured problem-solving and decision-making</li>  <li style="">High ownership mindset</li></ul><h3 style="font-size: 1.17em">6. Success Metrics</h3><ul>  <li style="">On-time and on-budget delivery</li>  <li style="">SLA adherence and client satisfaction index</li>  <li style="">Margin improvement and cost optimization</li>  <li style="">Team retention and engagement</li>  <li style="">Innovation adoption (Data modernization / AI enablement)</li></ul><div style=""><br></div><div style=""><br></div>

Experian (Hyderabad)

Delivery Manager 

<div style="">Job Description:&nbsp;</div><div style="">• Jointly working with Sales teams to move the deals from prospect to closure</div><div style="">• Lead the technical solutioning of proposals across cloud architectures</div><div style="">• Experience with Databricks, Snowflake, Azure Synapse, Kafka, Python/Spark</div><div style="">• Strong grasp of cloud solutions, cloud architectures (AWS, Azure, GCP), and MLOps / AI pipelines</div><div style="">• Lead the technical evaluation of architectural components and articulate the architectural recommendations</div><div style="">• Develop tailored AI/GenAI solutions (e.g., GenAI copilots, custom LLM apps, data governance with GenAI, etc.)</div><div style="">• Create technical collateral like reference architectures, cloud costing sheets, PoC plans, and technical RoIes</div><div style="">• Creation of technical plan and value propositions of Hoonartekʼs offering, with the capability to effectively present and demonstrate them to prospect.</div><div style="">• Providing subject matter expertise and guidance to clients on a wide range of issues, including strategy, operations, and technology.</div><div style="">• Ability to create solution documents, architecture diagrams, effort estimation, and risk identification</div><div style="">• Support the Sales team in the development of proposals and responses to Request for Proposal (RFP). Help team develop high-quality, compelling, and well-structured content that clearly communicates the company's value proposition and differentiators.</div><div style="">• Contribute towards go-to-market activities</div><div style="">• Maintain a deep understanding of industry trends and technologies and stay up-to-date with new product offerings and solutions.</div><div style="">• To research and analyze the customer's needs, requirements, and challenges and develop compelling use cases that demonstrate how the company's products or services can solve these issues.</div><div style="">• Provide regular reports and presentations to senior management regarding pre-sales activities and results.</div>

Hoonartek Mumbai

Principal Architect (Pre sales)

<div style="">Business uses <b style="font-weight: 700">Workday</b> as the primary HRMS platform. As part of the data platform modernization initiative, we are building a Medallion architecture on <b style="font-weight: 700">Databricks</b>, orchestrated via Azure Data Factory. Workday contributes approximately 60% of HR data, and the objective is to ingest this data into the Bronze layer of the Lakehouse.</div><h3 style="font-size: 1.17em"><br></h3><h3 style="font-size: 1.17em">Scope of Work</h3><div style="">The Workday technical consultant will design and implement scalable Workday data ingestion pipelines and provide recommendations on best practices for extracting and integrating Workday data across hyperscaler environments (Azure, AWS, or GCP).</div><h3 style="font-size: 1.17em">Integration Approaches Under Evaluation</h3><ul>  <li style="">REST API</li>  <li style="">SOAP API</li>  <li style="">RaaS (Report as a Service)</li>  <li style="">WQL (Workday Query Language)</li></ul><div style="">RaaS has been the traditional approach but is not preferred for future implementations.</div><h3 style="font-size: 1.17em">Key Requirements</h3><ul>  <li style="">5+ years of Workday technical experience (integrations, reporting, or data extraction).</li>  <li style="">Proven experience implementing Workday data ingestion to cloud data platforms.</li>  <li style="">Strong understanding of REST/SOAP APIs, RaaS, and WQL.</li>  <li style="">Experience working with modern data platforms and ETL/ELT pipelines.</li>  <li style="">Ability to recommend optimal ingestion strategies based on scalability, performance, and governance.</li></ul><h3 style="font-size: 1.17em">Expectation</h3><div style="">Provide implementation insights, architecture recommendations, and best practices for Workday data ingestion in a cloud-based Lakehouse environment.</div>

Workday Technical Consultant – Advisory / Contract Assignment  

<div style="">We empower enterprises globally through intelligent, creative, and insightful services for data integration, data analytics and data visualization.</div><div style="">Hoonartek is a leader in enterprise transformation, data engineering and an acknowledged world-class Ab Initio delivery partner.</div><div style="">Using centuries of cumulative experience, research and leadership, we help our clients eliminate the complexities &amp; risk of legacy modernization and safely deliver big data hubs, operational data integration, business intelligence, risk &amp; compliance solutions and traditional data warehouses &amp; marts.</div><div style="">At Hoonartek, we work to ensure that our customers, partners and employees all benefit from our unstinting commitment to delivery, quality and value. Hoonartek is increasingly the choice for customers seeking a trusted partner of vision, value and integrity</div><div style=""><br></div><div style=""><b style="font-weight: 700">How We Work?</b></div><div style=""><br></div><div style="">Define, Design and Deliver (D3) is our in-house delivery philosophy. It’s culled from agile and rapid methodologies and focused on ‘just enough design’. We embrace this philosophy in everything we do, leading to numerous client success stories and indeed to our own success.</div><div style="">We embrace change, empowering and trusting our people and building long and valuable relationships with our employees, our customers and our partners. We work flexibly, even adopting traditional/waterfall methods where circumstances demand it. At Hoonartek, the focus is always on delivery and value.</div>