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<p>We are seeking an experienced <strong>Senior Data Engineer – Databricks</strong> to design, develop, and optimize scalable data platforms using the Databricks Lakehouse architecture. The ideal candidate will have deep expertise in building modern data pipelines, implementing Delta Lake best practices, and leveraging the latest Databricks capabilities including Auto Loader, Spark Declarative Pipelines (SDP/DLT), Databricks Workflows, Unity Catalog, and AI/BI features.</p>
<p>The role requires strong hands-on development skills, the ability to mentor team members, and experience delivering enterprise-grade data engineering solutions on cloud platforms.</p>

Pune Office

Senior Data Engineer-Databricks

<h1>Job Description: Product Business Analyst – Procure-to-Pay (P2P) Platform</h1>
<p><strong>Location:</strong> [Insert Location / Hybrid / Remote] <strong>Experience:</strong> 5–9 years (Product/Business Analysis in Procurement, Finance, or Supply Chain tech) <strong>Employment Type:</strong> Full-time</p>
<h2>About the Role</h2>
<p>We are building a <strong>Procure-to-Pay (P2P) platform</strong> covering the full lifecycle — <strong>vendor onboarding, budgeting, purchase requisition/order management, and payments</strong> — for enterprise clients. We are looking for a <strong>Product Business Analyst</strong> who can bridge business stakeholders, engineering, and design to define, prioritize, and validate features across this multi-module platform.</p>
<p>This is a hands-on role for someone who can go deep into procurement/finance workflows, translate ambiguous business needs into clear requirements, and stay closely involved through delivery and adoption.</p>
<h2>Key Responsibilities</h2>
<p><strong>Product Discovery &amp; Requirements</strong></p>
<ul>
  <li>Partner with stakeholders (Finance, Procurement, Compliance, Vendor Management) to gather, analyze, and document business requirements across the P2P value chain.</li>
  <li>Translate business needs into user stories, acceptance criteria, process flows, and functional specifications.</li>
  <li>Map current-state (AS-IS) procurement/payment processes and design future-state (TO-BE) workflows.</li>
</ul>
<p><strong>Module Ownership Across P2P Lifecycle</strong></p>
<ul>
  <li><strong>Vendor Onboarding:</strong> Define workflows for vendor registration, KYC/compliance checks, document verification, approval hierarchies, and vendor master data management.</li>
  <li><strong>Budgeting:</strong> Define requirements for budget creation, allocation, encumbrance tracking, budget vs. actuals reporting, and approval controls.</li>
  <li><strong>Purchase Management:</strong> Define requisition-to-PO workflows, approval matrices, catalog/non-catalog buying, contract linkage, and PO-to-GRN reconciliation.</li>
  <li><strong>Payments:</strong> Define invoice matching (2-way/3-way match), payment scheduling, approval workflows, payment gateway/banking integrations, and reconciliation processes.</li>
</ul>
<p><strong>Product Backlog &amp; Delivery</strong></p>
<ul>
  <li>Own and prioritize the product backlog for assigned modules in collaboration with Product Owners/Managers.</li>
  <li>Write detailed epics, user stories, and edge cases; support sprint planning, grooming, and UAT.</li>
  <li>Work closely with engineering and QA to ensure requirements are correctly implemented and tested.</li>
</ul>
<p><strong>Stakeholder &amp; Data Analysis</strong></p>
<ul>
  <li>Conduct workshops, interviews, and process walkthroughs with client/business stakeholders.</li>
  <li>Analyze transactional and process data to identify bottlenecks, control gaps, and automation opportunities across the P2P cycle.</li>
  <li>Prepare business cases, ROI analysis, and process improvement recommendations.</li>
</ul>
<p><strong>Compliance &amp; Controls</strong></p>
<ul>
  <li>Ensure requirements account for financial controls, audit trails, segregation of duties (SoD), and regulatory/statutory compliance (tax, GST/VAT, etc.).</li>
  <li>Coordinate with Compliance/Legal teams on vendor risk and payment control requirements.</li>
</ul>
<p><strong>Cross-functional Coordination</strong></p>
<ul>
  <li>Act as the primary liaison between business stakeholders, UX/design, engineering, and QA teams.</li>
  <li>Support integration requirements with ERP systems (SAP, Oracle, Microsoft Dynamics), banking/payment gateways, and third-party vendor risk/compliance tools.</li>
  <li>Support go-to-market readiness: training material, SOPs, and change management artifacts.</li>
</ul>
<h2>Required Skills &amp; Experience</h2>
<ul>
  <li>5–9 years of experience as a Business Analyst / Product Analyst in <strong>procurement, source-to-pay, P2P, or finance transformation</strong> domains.</li>
  <li>Strong understanding of <strong>procurement and AP (Accounts Payable) processes</strong>: requisitioning, PO management, GRN, invoice matching, payment processing.</li>
  <li>Experience with <strong>vendor management/onboarding</strong> workflows and compliance requirements.</li>
  <li>Familiarity with <strong>budgeting and financial controls</strong> in an enterprise context.</li>
  <li>Proven experience writing user stories, functional specs, process flows (BPMN/Visio), and wireframes/mockup annotations.</li>
  <li>Hands-on experience with Agile delivery — backlog management, sprint ceremonies, JIRA/Confluence or equivalent tools.</li>
  <li>Strong stakeholder management and facilitation skills; comfortable running workshops with senior business and finance stakeholders.</li>
  <li>Strong analytical skills — SQL or data analysis tools (Excel, Power BI, Tableau) preferred.</li>
</ul>
<h2>Good to Have</h2>
<ul>
  <li>Prior experience with <strong>ERP systems</strong> (SAP Ariba/MM, Oracle Procurement Cloud, Coupa, or similar P2P/SRM platforms).</li>
  <li>Exposure to <strong>payment gateway integrations, banking APIs</strong>, or treasury systems.</li>
  <li>Experience with <strong>API-driven platform architectures</strong> and integration requirement documentation.</li>
  <li>Understanding of AI/automation use cases in procurement (e.g., invoice matching automation, vendor risk scoring, spend analytics).</li>
  <li>Domain certifications: CBAP, CSPO, or equivalent.</li>
</ul>
<h2>What Success Looks Like</h2>
<ul>
  <li>Clear, unambiguous requirements that reduce rework and back-and-forth with engineering.</li>
  <li>Well-prioritized backlogs aligned to business value and delivery milestones.</li>
  <li>Strong stakeholder confidence — business teams trust the BA to represent their needs accurately.</li>
  <li>Smooth UAT cycles with minimal defect leakage tied to requirement gaps.</li>
</ul>
<p><br></p>

Product BA/Manager

<div style=""><b style="font-weight: 700">Job Description</b></div><div style=""><b style="font-weight: 700">Role:</b> BRE Developer – PCSM<br> <b style="font-weight: 700">Location:</b> Chennai (Work From Office – Mandatory)<br> <b style="font-weight: 700">Joining:</b> Immediate (1–2 Weeks)</div><div style=""><b style="font-weight: 700">Mandatory Requirements</b></div><div style="">· Chennai-based candidate only.</div><div style="">· Work From Office mandatory (regulatory &amp; compliance requirement).</div><div style="">· Immediate joiner (within 1–2 weeks).</div><div style="">· Willing to work as per banking working model (6-day structure).</div><div style="">· Strong coding background (Java mandatory).</div><div style="">· Lending/Cards domain knowledge mandatory.</div><div style="">· Must handle end-to-end lifecycle (Requirement → Development → Testing → Deployment → Production Support).</div><div style=""><b style="font-weight: 700">Technical Skills (Mandatory)</b></div><div style="">· Hands-on experience in <b style="font-weight: 700">PCSM (Power Curve Strategy Management)</b>.</div><div style="">· Experience in <b style="font-weight: 700">BRE</b> implementation.</div><div style="">· Proficiency in Scorecard module.</div><div style="">· Strong Core Java (Collections, Multithreading, File Handling).</div><div style="">· Experience with Java, XML, Groovy, XSD.</div><div style="">· Knowledge of REST &amp; SOAP web services.</div><div style="">· Working knowledge of Linux/UNIX.</div><div style=""><b style="font-weight: 700">Functional Skills (Mandatory)</b></div><div style="">· Lending domain experience (Cards preferred).</div><div style="">· Knowledge of credit policies (SBL, Property Loan, Personal Loan, Asset-Based Loan, Auto Loan).</div><div style="">· Experience in requirement gathering and documentation (HLD / LLD / DLS).</div><div style="">· Policy configuration and SIT/UAT support.</div><div style=""><b style="font-weight: 700">Soft Skills (Mandatory)</b></div><div style="">· Strong ownership and accountability mindset.</div><div style="">· Confident in stakeholder interaction (Risk, Policy, Business teams).</div><div style="">· Ability to work independently without separate Dev/Test teams.</div><div style="">· Strong analytical and problem-solving skills.</div><div style="">· Willingness to learn and adapt.</div>

IT - HDFC

BRE Developer – PCSM

<div style="">We are seeking a skilled <b style="font-weight: 700">Data Engineer</b> with strong expertise in <b style="font-weight: 700">Azure Synapse Analytics</b> and working knowledge of <b style="font-weight: 700">Databricks</b> to design, develop, and maintain scalable data engineering solutions. The ideal candidate will be responsible for building robust ETL/ELT pipelines, implementing incremental data processing, optimizing data warehouse performance, and supporting cloud-based analytics platforms. Experience with Databricks will be an added advantage for modernizing and extending data platforms.</div><h3 style="font-size: 1.17em"><b style="font-weight: 700">Key Responsibilities</b></h3><ul>  <li style="">Design, develop, and maintain scalable ETL/ELT pipelines using <b style="font-weight: 700">Azure Synapse Analytics</b>, <b style="font-weight: 700">Azure Data Factory</b>, and SQL.</li>  <li style="">Develop and optimize data ingestion frameworks supporting both batch and incremental processing.</li>  <li style="">Implement <b style="font-weight: 700">incremental loading</b> using watermarking, Change Data Capture (CDC), Change Tracking, or timestamp-based approaches.</li>  <li style="">Build and maintain enterprise data warehouse solutions using Azure Synapse Dedicated SQL Pools.</li>  <li style="">Optimize SQL queries, indexing, partitioning, and table distribution for improved performance.</li>  <li style="">Perform <b style="font-weight: 700">cost optimization</b> and <b style="font-weight: 700">DWU right-sizing</b> to balance performance and operational costs.</li>  <li style="">Develop and maintain data models supporting reporting, analytics, and downstream applications.</li>  <li style="">Work with <b style="font-weight: 700">Azure Data Lake Storage (ADLS Gen2)</b> for data storage and management.</li>  <li style="">Develop and support data processing workloads in <b style="font-weight: 700">Databricks</b> using Spark/PySpark as required.</li>  <li style="">Monitor pipeline execution, troubleshoot failures, and ensure reliable data delivery.</li>  <li style="">Implement CI/CD pipelines using Azure DevOps and Git.</li>  <li style="">Collaborate with architects, business analysts, and BI developers to deliver high-quality data solutions.</li>  <li style="">Ensure data quality, governance, security, and compliance standards are met.</li></ul>

Azure Data Engineer

<div style="">We are seeking an experienced <b style="font-weight: 700">Azure Synapse Engineer</b> to design, develop, optimize, and maintain enterprise-scale data warehouse and analytics solutions on <b style="font-weight: 700">Azure Synapse Analytics</b>. The ideal candidate will have strong expertise in building high-performance ETL/ELT pipelines, implementing incremental data processing, optimizing Synapse dedicated SQL pools, and driving cost optimization initiatives through effective DWU right-sizing and workload management.</div><ul>  <li style="">Design, develop, and maintain scalable data ingestion and transformation pipelines using <b style="font-weight: 700">Azure Synapse Pipelines</b>, Spark, SQL, and Azure Data Factory.</li>  <li style="">Implement <b style="font-weight: 700">incremental data processing</b> using watermarking, Change Data Capture (CDC), Change Tracking, or timestamp-based mechanisms.</li>  <li style="">Develop and optimize <b style="font-weight: 700">Dedicated SQL Pool</b> and <b style="font-weight: 700">Serverless SQL Pool</b> solutions for large-scale data warehousing.</li>  <li style="">Perform <b style="font-weight: 700">DWU right-sizing</b> based on workload patterns to balance performance and cost.</li>  <li style="">Identify and implement <b style="font-weight: 700">cost optimization</b> opportunities, including workload scheduling, pause/resume automation, storage optimization, and query tuning.</li>  <li style="">Optimize SQL queries, partitioning strategies, indexing, and data distribution (Hash, Round Robin, Replicated tables) to improve performance.</li>  <li style="">Design and maintain dimensional data models (Star/Snowflake schemas) for reporting and analytics.</li>  <li style="">Monitor pipeline execution, troubleshoot failures, and ensure high availability and reliability.</li>  <li style="">Implement CI/CD pipelines using Azure DevOps for deployment automation.</li>  <li style="">Collaborate with business stakeholders, architects, and BI teams to deliver scalable analytics solutions.</li>  <li style="">Ensure data quality, governance, security, and compliance across the data platform.</li>  <li style="">Document technical designs, operational procedures, and best practices.</li></ul>

Azure Synapse Engineer

<div style="">Production Support &amp; Monitoring</div><div style=""><br></div><div style="">Provide L2 support for enterprise CDC platform operating in a 24x5 shift model.</div><div style="">Monitor Debezium connectors, Kafka brokers, Kafka Connect clusters, and data replication pipelines.</div><div style="">Perform proactive monitoring of CDC jobs and identify potential issues before SLA breach.</div><div style="">Track connector health, lag, replication latency, throughput, and error rates.</div><div style="">Validate end-to-end data movement between source systems and Kafka topics</div><div style=""><br></div><div style=""><br></div><div style="">Incident Management</div><div style=""><br></div><div style="">Analyze and resolve production incidents related to CDC pipelines.</div><div style="">Investigate connector failures, replication issues, Kafka consumer lag, and message delivery problems.</div><div style="">Perform root cause analysis (RCA) and document findings.</div><div style="">Coordinate with application, database, infrastructure, and cloud teams during major incidents.</div><div style="">Ensure adherence to incident, problem, and change management processes.</div><div style=""><br></div><div style="">Kafka &amp; Debezium Administration</div><div style=""><br></div><div style="">Monitor Kafka clusters, topics, partitions, brokers, and consumer groups.</div><div style="">Support deployment, restart, and recovery activities for Debezium connectors.</div><div style="">Troubleshoot snapshot failures, schema evolution issues, offset management, and connector rebalancing.</div><div style="">Validate CDC configurations for Oracle, SQL Server, MySQL, and Salesforce integrations.</div><div style="">Support Kafka Connect and Confluent ecosystem components.</div><div style=""><br></div><div style="">Operational Excellence</div><div style=""><br></div><div style="">Execute daily platform health checks and readiness assessments.</div><div style="">Maintain operational runbooks, support documentation, and troubleshooting guides.</div><div style="">Participate in change implementation, release validation, and production deployments.</div><div style="">Work closely with L3 engineering teams for complex issue resolution.</div><div style="">Ensure adherence to defined SLAs and operational KPIs.</div><div style=""><br></div><div style="">Primary Skills (Mandatory)</div><div style=""><br></div><div style="">Strong hands-on experience with Apache Kafka and Kafka Connect.</div><div style="">Experience supporting Debezium CDC connectors in production environments.</div><div style="">Good understanding of:</div><div style=""><br></div><div style="">Oracle CDC</div><div style="">MSSQL CDC</div><div style="">MySQL CDC</div><div style="">Salesforce data integration concepts</div><div style=""><br></div><div style=""><br></div><div style="">Knowledge of:</div><div style=""><br></div><div style="">Kafka topics, partitions, replication factors</div><div style="">Consumer groups and offset management</div><div style="">Kafka cluster monitoring and troubleshooting</div><div style="">Connector lifecycle management</div><div style=""><br></div><div style=""><br></div><div style="">Experience using Linux/Unix environments.</div><div style="">Strong SQL skills for data validation and issue investigation.</div><div style=""><br></div><div style="">Monitoring &amp; Support Tools</div><div style=""><br></div><div style="">Experience with operational monitoring tools such as Prometheus, Grafana, Control Center, Splunk, ELK, or equivalent.</div><div style="">Log analysis and troubleshooting experience.</div><div style="">Understanding of alerting, ticketing, and ITSM platforms (ServiceNow, Jira, etc.).</div><div style=""><br></div><div style="">Cloud &amp; Data Platform Exposure (Preferred)</div><div style=""><br></div><div style="">Exposure to Google Cloud Platform (GCP).</div><div style="">Experience with BigQuery.</div><div style="">Familiarity with high-availability and distributed system architectures.</div>

IT - LTFS

L2 Support Engineer – CDC Debezium, Kafka Support

<div style="">Data engineering is an enabler and is about getting the right data to the right place at the right time. Key tasks for you will include: the integration of data from source systems, other internal datasets and external data sources. You will be responsible for designing and building our ETL pipelines, constructing domain warehouses and provisioning data through a MS Azure cloud on our Global Data Platform.</div><div style="">You will work closely with the Information Data Governance team, instilling best practice. Other key customers include data scientists and Business Intelligence teams.</div><div style="">We increasingly work in a fast-paced, agile, and continuous delivery environment. The right candidate for this position will be motivated by this challenge and will help to develop our future ways of working.</div><div style="">Role and Responsibilities includes:&nbsp;</div><div style="">· Analyse and organize raw data from a wide variety of data sources to build data systems and pipelines</div><div style="">· Evaluate business needs and objectives to create and maintain optimal data pipeline architecture</div><div style="">· Understand the technical environment, platforms and other dependencies of the project</div><div style="">· Assemble large, complex data sets that meet functional / non-functional business requirements.</div><div style="">· Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics</div><div style="">· Hands-on development experience on Hadoop, spark, Hive, H-Base, Kafka</div><div style="">· Experience in ELK stack</div><div style="">· Experience in NoSQL databases like Cassandra, MongoDB etc</div><div style="">· Cloud experience (Azure(preferred) or AWS)</div><div style="">· Experience in application, data, and infrastructure architecture disciplines</div><div style="">· Translate, load, and exhibit unrelated data sets in various formats and sources like JSON, text files, Kafka queues, and log data.</div><div style="">· Proven design, coding, testing, and debugging skills and experience.</div><div style="">· Experience in end-to-end release of highly reliable applications including design, development, and testing.</div><div style="">· Understanding of Linux OS core principles, performance and tuning</div><div style="">· A solid understanding of database design and data manipulation</div><div style="">· Experience in building data processing, ETL and data pipelining workflows</div><div style="">· Understand and validate the proposed technical solution to the project and escalate in case of issues or new ideas.</div>

Data Engineer

<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> Pune<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>

Delivery Manager 

<div style="">We are hiring two Partner Sales Managers - one anchored on the East Coast, one covering Dallas and the Central US.</div><div style="">Your mandate is straightforward: own 15-20 Databricks field AE relationships in your territory so deeply that when they close a platform deal, Hoonartek is the first implementation partner they call.</div><div style="">You are not cold-calling enterprises. You are building co-sell trust with Databricks AEs that generates consistent, warm pipeline of six and seven-figure SOWs.</div><div style=""><b style="font-weight: 700">What You Will Do</b></div><ul>  <li style="">Own and deepen relationships with 15-20 named Databricks field AEs in your territory</li>  <li style="">Drive co-sell pipeline positioning Hoonartek as the default Databricks implementation partner in your AE relationships</li>  <li style="">Qualify and progress ecosystem-sourced opportunities through to SOW signature alongside Hoonartek's delivery and pre-sales teams</li>  <li style="">Represent Hoonartek at Databricks-led events, field days, and QBRs in your territory</li>  <li style="">Maintain a live pipeline tracker — every opportunity registered and progressing, documented weekly</li>  <li style="">Feed market intelligence back to the GTM team on what AEs are selling and where ClearView fits</li></ul>

Hybrid

Partner Sales Manager

<div style="">Databricks Architect – &nbsp;( Stonge experience- AWS Architect for &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Databricks migration 3-5 Years Databricks + 5-7 years AWS Services. )</div><ul>  <li style="">Databricks Solution &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Architect/SME with 10+ years of strong expertise in optimizing data &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;platforms and improving processing efficiency.    <ul>      <li style="">Experienced in reorganizing &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;and tuning Databricks tables (Delta Lake), partitioning strategies, and &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;performance optimization.</li>      <li style="">Proven ability to reduce &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;processing time and costs through query optimization, data modeling, and &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;best practices implementation.</li>    </ul>  </li></ul>

Databricks in AWS SME/Architect 

<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>