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<p><strong>Primary Skills:</strong> Databricks, Databricks AI/BI Genie, SQL, Python, PySpark</p>
<p><strong>Key Responsibilities:</strong></p>
<ul>
  <li>Develop and maintain data pipelines using Databricks, SQL, and PySpark.</li>
  <li>Configure and manage Databricks AI/BI Genie Spaces.</li>
  <li>Enable natural language-based querying and analytics using Genie.</li>
  <li>Prepare and optimize datasets for Genie integration.</li>
  <li>Validate Genie-generated SQL queries and results.</li>
  <li>Troubleshoot data pipeline and Genie-related issues.</li>
  <li>Work with business teams to understand requirements and deliver solutions.</li>
</ul>
<p><strong>Required Skills:</strong></p>
<ul>
  <li>Hands-on experience with Databricks and PySpark.</li>
  <li>Working knowledge of Databricks AI/BI Genie.</li>
  <li>Strong SQL and Python skills.</li>
  <li>Understanding of Delta Lake and Medallion Architecture.</li>
  <li>Knowledge of Unity Catalog.</li>
  <li>Good analytical, debugging, and problem-solving skills.</li>
</ul>
<p><strong>Preferred:</strong> Azure Data Factory, Azure DevOps, and basic Generative AI knowledge.</p>

Pune Office

Databricks + Genie 

<h2>HR Operations – 5–7 Years Experience</h2>
<h3>Job Summary</h3>
<p>We are looking for an experienced HR Operations professional to manage day-to-day HR activities, ensure smooth and efficient HR processes, and support HR compliance through regular audits and process reviews.</p>
<h3>Key Responsibilities</h3>
<ul>
  <li>Manage employee onboarding and exit formalities.</li>
  <li>Maintain and update employee records and HR databases.</li>
  <li>Handle attendance, leave management, and employee documentation.</li>
  <li>Coordinate payroll inputs and resolve payroll-related queries.</li>
  <li>Manage employee queries related to HR policies and processes.</li>
  <li>Prepare HR reports, dashboards, and MIS as required.</li>
  <li>Ensure compliance with company HR policies, labor laws, and statutory requirements.</li>
  <li>Conduct periodic HR audits to review employee records, documentation, compliance, and process adherence.</li>
  <li>Identify gaps in HR processes and recommend corrective and preventive actions.</li>
  <li>Support internal and external audits by providing HR-related data and documentation.</li>
  <li>Support performance management and other HR processes.</li>
  <li>Coordinate with internal teams for smooth HR operations.</li>
  <li>Maintain confidentiality of employee information.</li>
</ul>
<h3>Requirements</h3>
<ul>
  <li>5–7 years of experience in HR Operations.</li>
  <li>Good knowledge of HR processes, employee lifecycle management, and HR compliance.</li>
  <li>Experience in conducting HR audits and maintaining audit readiness.</li>
  <li>Working knowledge of MS Excel and HRMS.</li>
  <li>Good communication and interpersonal skills.</li>
  <li>Strong attention to detail and problem-solving ability.</li>
  <li>Ability to handle multiple tasks and work independently.</li>
</ul>
<h3>Qualification</h3>
<ul>
  <li>MBA/PGDM in HR or equivalent qualification.</li>
  <li>Relevant experience in HR Operations, Compliance, and Audit activities preferred.</li>
</ul>

HR Ops

<p><strong>Senior Account Manager – FSI</strong></p>
<p><strong>Experience:</strong> 8–12 years<br>
<strong>Location:</strong> Mumbai, India<br>
<strong>Role Mix:</strong> 80% Strategic Account Management | 20% New Business</p>
<p><br></p>
<p><strong>The Role</strong></p>
<p>We are looking for a high-potential <strong>Senior Account Manager</strong> to help manage and grow some of Hoonartek's most strategic Banking and FSI relationships. This is an opportunity for someone who wants to move beyond opportunity management and build the skills required to become a <strong>strategic account leader</strong>. The role will focus on going deep into the assigned accounts; understanding the business priorities, technology landscape, transformation agenda, stakeholders and buying environment; building strong relationships across the organisation; identifying whitespace; and converting those insights into sustainable revenue growth.</p>
<p><br></p>
<p><strong>Key Responsibilities</strong></p>
<ul>
  <li>Own day-to-day account management and growth across assigned strategic banking accounts.</li>
  <li>Build and nurture strong relationships across Data, Technology, Business, Operations, Procurement and other relevant functions.</li>
  <li>Develop account plans and identify whitespace, cross-sell and up-sell opportunities.</li>
  <li>Work closely with customers to understand their challenges and connect them with Hoonartek's Data, AI, Cloud and Digital Transformation capabilities.</li>
  <li>Drive opportunities from early-stage discovery through solutioning, proposal, negotiation and closure.</li>
  <li>Work closely with Solutioning, Delivery, Technology and HR to support mobilisation, team ramp-up, governance and customer success.</li>
  <li>Own the commercial follow-through across engagements, including contracting, revenue realisation and collections.</li>
  <li>Participate in customer workshops, executive meetings, account reviews and industry events.</li>
  <li>Identify and pursue selected new business opportunities as part of the overall growth plan.</li>
  <li>Contribute to account-based marketing, events and targeted lead-generation initiatives.</li>
</ul>
<p><strong>Key KRAs</strong></p>
<ul>
  <li>Account Depth &amp; Stakeholder Coverage</li>
  <li>Revenue &amp; Booking Achievement</li>
  <li>Commercial Closure &amp; Collections</li>
  <li>Pipeline Creation &amp; Conversion</li>
  <li>Customer Engagement &amp; Success</li>
</ul>

Hoonartek Mumbai

Solution Sales Consultant

Databricks Apps Developer

<p><strong>Job Description: Lead Agent Developer</strong></p>
<p><strong>Title:</strong> Agentic Lead <strong>Location:</strong> Pune</p>
<p><strong>Job Summary</strong></p>
<p>We are seeking a highly experienced and dedicated candidate who will leverage expertise in <strong>Agentic AI (ADK)</strong>, advanced data engineering, and predictive analytics to build robust, automated pipelines that drive business intelligence.</p>
<p>This role requires a strong full-stack perspective, combining deep knowledge of Python, GCP/AWS cloud architectures, and modern MLOps principles to deliver highly scalable and auditable solutions.</p>
<p><strong>Key Responsibilities</strong></p>
<p>· Design and build <strong>Agentic AI systems</strong>(using ADK/Generative AI) for advanced business automation.</p>
<p>· Develop intelligent APIs/endpoints and Agents for <strong>automated decision-making</strong> and real-time anomaly detection.</p>
<p>· Architect and optimize high-volume, low-latency <strong>ETL/ELT pipelines</strong> using Python, Airflow, and Cloud Run/Glue on GCP and AWS.</p>
<p>· Manage and optimize large-scale data warehouses, specifically <strong>BigQuery</strong>, for performance reporting.</p>
<p>· Ensure <strong>data integrity</strong> and enforce robust data modeling and governance standards.</p>
<p>· Write production-grade code using <strong>Python</strong></p>
<p>· Lead the <strong>full SDLC (Software Development Life Cycle)</strong> from requirement to deployment.</p>
<p>· Integrate systems with diverse third-party APIs (e.g., Salesforce, Google Ads) to create a unified data view (Customer 360).</p>
<p>· Understand the CICD process for rapid and reliable deployments</p>
<p><strong>Required Qualifications &amp; Skills</strong></p>
<ul>
  <li><strong>Experience:</strong> &nbsp;&nbsp;&nbsp;&nbsp;10+ years of progressive experience in software engineering, data &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;engineering, or advanced analytics, with significant time spent in cloud &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;environments (GCP/AWS).</li>
  <li><strong>AI/Generative &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;AI:</strong> Proven experience designing or contributing to Agentic AI projects &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;using <strong>Agent Development Kits (ADK)</strong>, Google Generative AI, or &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;similar LLM frameworks.</li>
  <li><strong>Programming &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&amp; Data:</strong> Expert proficiency in <strong>Python</strong> and advanced <strong>SQL</strong> &nbsp;&nbsp;&nbsp;&nbsp;development. Strong experience with <strong>Pandas</strong> and modern data &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;technologies.</li>
  <li><strong>Cloud &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&amp; ETL:</strong> Deep expertise in <strong>GCP</strong> services (BigQuery, Cloud Run, &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Cloud Functions)</li>
  <li><strong>Databases:</strong> &nbsp;&nbsp;&nbsp;&nbsp;Strong working knowledge of PostgreSQL, MySQL, and NoSQL databases.</li>
  <li><strong>DevOps:</strong> &nbsp;&nbsp;&nbsp;&nbsp;Practical experience with <strong>Docker</strong> and continuous &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;integration/continuous deployment (CI/CD) practices.</li>
</ul>

Agentic AI Lead

<div style="">Senior Developer — GCP Data Engineering</div><div style=""><br></div><div style="">Roles &amp; Responsibilities</div><div style=""><br></div><div style="">Owns the end-to-end tHands-on implementer responsible for building and testing individual pipelines: Datastream CDC/OTL configuration, Cloud Composer DAGs, PySpark-to-BigQuery SQL conversions, materialized view creation, and report connector reconfiguration. Works under a Tech Lead within a pod, executes the implementation plan, and produces evidence (logs, recon outputs) for QA sign-off.echnical design for the ClickHouse-to-BigQuery migration: medallion architecture (Bronze/Silver/Gold), Datastream/CDC topology, schema-drift handling strategy, and the Technical Design Document (TDD). Acts as the single point of technical authority during the 8-week engagement, signs off on architecture decisions, and resolves cross-pod design conflicts (Postgres, MongoDB, PySpark, reporting).</div><div style=""><br></div><div style="">Primary Skillset</div><div style=""><br></div><div style="">• Configuring and operating Google Cloud Datastream streams (one-time load + CDC) for PostgreSQL (Cloud SQL) and/or MongoDB Atlas sources into BigQuery</div><div style="">• Writing and maintaining Cloud Composer (Airflow) DAGs for scheduled/micro-batch ingestion, using parameterised/templated patterns</div><div style="">• Converting PySpark batch jobs to BigQuery SQL — using BQ-native Spark-to-SQL conversion utilities for standard jobs, and manually re-implementing complex UDFs/window functions where required</div><div style="">• Writing BigQuery SQL for Bronze/Silver/Gold transformations: cleansing, deduplication (via BQ Data Engineering Agent or SQL), and materialized view definitions</div><div style="">• Implementing Dataflow (Apache Beam) jobs to flatten nested MongoDB documents into BigQuery tables, handling document schema variability (SAFE/COALESCE patterns)</div><div style="">• Configuring BigQuery native features: column-level PII masking policies, scheduled exports to GCS (including Iceberg format), and basic Cloud Monitoring/Audit Logging setup</div><div style=""><br></div><div style=""><br></div><div style=""><br></div><div style="">Secondary Skillset</div><div style=""><br></div><div style="">• Reconfiguring BI tool connectors (e.g., Metabase JDBC connector switch from ClickHouse to BigQuery) and validating report output</div><div style="">• Writing automated reconciliation scripts (row-count, checksum comparisons between source and BigQuery)</div><div style="">• Exposure to ClickHouse (reading schemas/data for migration purposes — not requiring ClickHouse admin expertise)</div><div style="">• Shell scripting / Python for automation glue (recon scripts, batch reconfiguration helpers)</div><div style="">• Git-based version control and CI basics for pipeline code</div><div style="">• Awareness of data security/compliance concepts (PII handling, audit logging) sufficient to implement to spec</div><div style=""><br></div><div style=""><br></div><div style=""><br></div>

Developer — GCP Data Engineering

<h2>Key Responsibilities</h2>
<ul>
  <li>Design and own the end-to-end data governance framework for the Databricks Data Foundation platform, covering data classification, ownership, stewardship, and quality standards.</li>
  <li>Architect Unity Catalog for metastore structure, catalog/schema hierarchy, fine-grained access controls (RBAC/ABAC), row- and column-level security, and audit logging across the migrated estate.</li>
  <li>Integrate Unity Catalog with enterprise data catalog and governance tooling (e.g. Collibra, Purview, or Alation) to give Allianz a single, consistent view of data lineage, glossary, and metadata across Databricks and connected systems.</li>
  <li>Define and implement data lineage capture (source-to-target) to support impact analysis, audit, and regulatory reporting during and after the Synapse-to-Databricks migration.</li>
  <li>Partner with data engineering, security, and platform teams to embed governance controls into migration pipelines for both Phase 1 (in progress) and the upcoming Phase 2 source systems.</li>
  <li>Ensure the governance model satisfies insurance-sector regulatory requirements (e.g. GDPR, BCBS 239, Solvency II) and Allianz's internal data policies.</li>
  <li>Act as the governance subject-matter expert in Allianz Technology engagement forums, including SteerCo and status reporting, translating technical governance decisions for business and compliance stakeholders.</li>
  <li>Mentor engineers on governance best practices and review designs for compliance before deployment.</li>
</ul>
<h2>Required Skills &amp; Experience</h2>
<ul>
  <li>10+ years in data architecture/engineering, with at least 3-4 years focused on data governance in cloud data platforms.</li>
  <li>Hands-on expertise architecting and administering <strong>Databricks Unity Catalog</strong>: metastores, catalogs, access control, lineage, audit logs, and Delta Sharing.</li>
  <li>Proven experience integrating Databricks with enterprise data catalog/governance tools such as <strong>Collibra, Microsoft Purview, or Alation</strong>.</li>
  <li>Worked on Azure as hyperscaler in past project</li>
  <li>Has worked on Informatica earlier and understands Data Governance implementation</li>
  <li>Strong grounding in data governance frameworks and concepts: data stewardship, master data management, data quality, metadata management, and data lineage.</li>
  <li>Experience with large-scale cloud data platform migrations (Synapse, Azure Data Factory, or equivalent, to Databricks/Lakehouse architectures preferred).</li>
  <li>Working knowledge of regulatory and compliance frameworks relevant to insurance/BFSI (GDPR, BCBS 239, Solvency II, or similar).</li>
  <li>Strong stakeholder management and communication skills, with experience presenting to senior client and SteerCo audiences.</li>
  <li>Prior experience working within a large enterprise client engagement model (consulting/systems integrator background preferred).</li>
</ul>
<h2>Preferred Qualifications</h2>
<ul>
  <li>Databricks certification (e.g. Databricks Certified Data Engineer Professional, or Databricks Lakehouse/Unity Catalog specialty credentials).</li>
  <li>Certification or hands-on experience with Collibra, Purview, or Alation administration.</li>
  <li>Prior experience in insurance or broader insurance services, especially on regulatory/audit-driven data programmes.</li>
  <li>Familiarity with Azure cloud services beyond Synapse (Azure Data Lake, Azure Key Vault, Azure Purview).</li>
  <li>Experience defining governance operating models (data ownership RACI, stewardship councils, policy lifecycle).</li>
</ul>

Data Governance Architect – Databricks

<p>We are looking for an experienced <strong>Data Modeler</strong> responsible for designing scalable, governed, and high-performance data models for enterprise data platforms. The role will work closely with Data Architects, Data Engineers, BI developers, business stakeholders, and application teams to translate business requirements into logical and physical data models.</p>
<p>The candidate should have strong experience in <strong>enterprise data modeling, dimensional modeling, data warehousing, cloud data platforms, and modern Lakehouse architectures</strong>.</p>
<h3>Key Responsibilities</h3>
<ul>
  <li>Design <strong>Conceptual, Logical and Physical Data Models</strong> for enterprise data platforms.</li>
  <li>Develop <strong>dimensional models</strong> using Star and Snowflake schemas.</li>
  <li>Design <strong>fact and dimension tables</strong>, including conformed dimensions.</li>
  <li>Define <strong>grain, keys, relationships, cardinality and referential integrity</strong>.</li>
  <li>Design <strong>SCD Type 1, Type 2 and other historical tracking approaches</strong>.</li>
  <li>Work with Data Architects to define enterprise data architecture and modeling standards.</li>
  <li>Create models for <strong>Data Warehouse, Data Lake and Lakehouse</strong> environments.</li>
  <li>Develop data models for <strong>Bronze, Silver and Gold</strong> layers in a Lakehouse architecture.</li>
  <li>Optimize models for analytical workloads and BI reporting.</li>
  <li>Work closely with Power BI/Tableau teams to create models suitable for semantic-layer consumption.</li>
  <li>Analyze source systems and map source attributes to target data models.</li>
  <li>Perform <strong>source-to-target mapping</strong> and define transformation rules.</li>
  <li>Identify data quality, duplication, normalization and data integrity issues.</li>
  <li>Define metadata, business definitions and data lineage.</li>
  <li>Support <strong>Data Governance, Master Data Management and reference-data modeling</strong>.</li>
  <li>Collaborate with Data Engineers during implementation and validate the implemented model.</li>
  <li>Review SQL queries and database structures for performance and scalability.</li>
</ul>

Data Modeler

<p><strong>Key Responsibilities</strong></p>
<p>· Define and govern data architecture strategies, standards and methodologies for Data Platform hosted data solutions / applications</p>
<p>· Develop and maintain architecture documentation, blueprints, and reference architectures</p>
<p>· Design end-to-end data solutions including Data Lakes, Data Warehouses and Lakehouse architectures on <strong>Azure Databricks</strong></p>
<p>· Provide solution architecture for complex data integration, migration, and transformation projects</p>
<p>· Ensure alignment with Allianz enterprise architecture frameworks, security guardrails and compliance requirements</p>
<p>· Support data architecture reviews and provide technical mentorship to Data Engineers</p>
<p>· Collaborate with global stakeholders including OE teams, Tech Leads / Architects and senior management</p>
<p>· Support platform strategy decisions (Databricks) and evaluate emerging technologies</p>
<p>· Provide application and OE support governance, ensuring operational excellence across data lifecycle / environments</p>
<p>Leverage AI tools (E.g. Claude, GitHub Copilot, OpenAI) in everyday work to accelerate development, automate repetitive tasks, enhance documentation, and improve overall productivity and quality of deliverables.</p>

Senior Data Architect

<p><strong>Databricks &nbsp;&nbsp;Program / Delivery Management</strong></p>
<p>Databricks, Agile, Program Management, Delivery &nbsp;&nbsp;Governance, Stakeholder Management, Data Platform Strategy</p>
<p><br></p>
<p><strong>Databricks &nbsp;&nbsp;Technical Leadership &amp; Solution Architecture</strong></p>
<p>Databricks, Spark, Delta Lake, Data Architecture, Solution &nbsp;&nbsp;Design, Performance Optimization</p>
<p><br></p>
<p><strong>Databricks &nbsp;&nbsp;Data Engineering</strong></p>
<p>Databricks, PySpark, Spark SQL, Delta Lake, ETL/ELT, Data &nbsp;&nbsp;Pipelines, Data Warehousing</p>
<p><br></p>
<p><strong>ADF + Databricks ETL Engineering</strong></p>
<p>Azure Data Factory (ADF), Databricks, PySpark, ETL &nbsp;&nbsp;Pipelines, Azure Data Lake, SQL</p>
<p><br></p>
<p><strong>AWS &nbsp;&nbsp;Databricks Architecture &amp; Cloud SME</strong></p>
<p>AWS, Databricks, EMR, S3, Glue, Lakehouse Architecture, &nbsp;&nbsp;Cloud Migration</p>
<p><br></p>
<p><strong>Databricks &nbsp;&nbsp;Platform Administration &amp; Azure Infrastructure</strong></p>
<p>Azure, Databricks Administration, Unity Catalog, RBAC, &nbsp;&nbsp;Security, CI/CD, Monitoring</p>
<p><br></p>
<p><strong>Databricks &nbsp;&nbsp;AI / GenAI Development</strong></p>
<p>Databricks Genie, Mosaic AI, GenAI, LLMs, Prompt &nbsp;&nbsp;Engineering, RAG, Vector Search</p>
<p><br></p>
<p><strong>Databricks &nbsp;&nbsp;Application Development</strong></p>
<p>Databricks, PySpark, SQL, Python, Notebooks, Delta Lake, &nbsp;&nbsp;Workflows</p>
<p><br></p>
<p><strong>Work Location</strong>&nbsp;</p>
<p>Pune, Mumbai, Gurgaon, Hyderabad, Bangalore</p>
<p><br></p>
<p><strong>Experience</strong></p>
<p>5+ years</p>
<p><br></p>
<p><strong>Work Mode&nbsp;</strong></p>
<p>Work From Office (5 Days)</p>

Databricks (TA)

<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>