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Azure Data Engineer (Senior)

Tenarai (formerly Infogain) · IT Services & Consulting

  • Noida / Pune / Bangalore / Mumbai / Hyderabad / Chennai / Gurugram / Kochi, India
  • On-site
  • Posted today
  • Data & AI
  • Full-Time

About the job

&lth4&gt&ltstrong&gt&ltspan style=&quotcolor:rgb(0, 0, 0);&quot&gtJob Description:&lt/span&gt&lt/strong&gt&lt/h4&gt&ltp&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtWe are looking for experienced &lt/span&gt&ltstrong&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtDatabricks Data Engineers&lt/span&gt&lt/strong&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gt to support the migration of SAP BW/EDW workloads to the Databricks Lakehouse platform.&lt/span&gt&lt/p&gt&lth3&gt&ltstrong&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtKey Responsibilities&lt/span&gt&lt/strong&gt&lt/h3&gt&ltul&gt&ltli&gt&ltp&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtDevelop data pipelines and transformation logic using &lt/span&gt&ltstrong&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtDatabricks and SQL&lt/span&gt&lt/strong&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gt.&lt/span&gt&lt/p&gt&lt/li&gt&ltli&gt&ltp&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtBuild and maintain &lt/span&gt&ltstrong&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtbronze, silver and gold&lt/span&gt&lt/strong&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gt layer datasets.&lt/span&gt&lt/p&gt&lt/li&gt&ltli&gt&ltp&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtRe-engineer existing SAP BW/EDW transformation logic into Databricks.&lt/span&gt&lt/p&gt&lt/li&gt&ltli&gt&ltp&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtImplement source-to-target mappings and data transformation rules.&lt/span&gt&lt/p&gt&lt/li&gt&ltli&gt&ltp&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtWork with SAP BW consultants to understand BW objects, transformations and business logic.&lt/span&gt&lt/p&gt&lt/li&gt&ltli&gt&ltp&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtDevelop scalable and reusable data engineering frameworks.&lt/span&gt&lt/p&gt&lt/li&gt&ltli&gt&ltp&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtSupport data validation, reconciliation, SIT and UAT.&lt/span&gt&lt/p&gt&lt/li&gt&ltli&gt&ltp&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtTroubleshoot data quality and pipeline performance issues.&lt/span&gt&lt/p&gt&lt/li&gt&ltli&gt&ltp&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtWork with Azure Data Factory and other Azure services as required.&lt/span&gt&lt/p&gt&lt/li&gt&ltli&gt&ltp&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtSupport production deployment and operational activities.&lt/span&gt&lt/p&gt&lt/li&gt&lt/ul&gt&lth3&gt&ltstrong&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtRequired Skills&lt/span&gt&lt/strong&gt&lt/h3&gt&ltul&gt&ltli&gt&ltp&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtStrong &lt/span&gt&ltstrong&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtDatabricks&lt/span&gt&lt/strong&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gt experience.&lt/span&gt&lt/p&gt&lt/li&gt&ltli&gt&ltp&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtStrong &lt/span&gt&ltstrong&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtSQL&lt/span&gt&lt/strong&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gt skills.&lt/span&gt&lt/p&gt&lt/li&gt&ltli&gt&ltp&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtHands-on experience with &lt/span&gt&ltstrong&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtPySpark&lt/span&gt&lt/strong&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gt.&lt/span&gt&lt/p&gt&lt/li&gt&ltli&gt&ltp&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtExperience developing ETL/ELT data pipelines.&lt/span&gt&lt/p&gt&lt/li&gt&ltli&gt&ltp&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtGood understanding of Lakehouse and &lt/span&gt&ltstrong&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtMedallion Architecture&lt/span&gt&lt/strong&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gt.&lt/span&gt&lt/p&gt&lt/li&gt&ltli&gt&ltp&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtExperience with data modelling and transformation.&lt/span&gt&lt/p&gt&lt/li&gt&ltli&gt&ltp&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtExperience with data quality, reconciliation and performance optimisation.&lt/span&gt&lt/p&gt&lt/li&gt&ltli&gt&ltp&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtGood understanding of Azure data services.&lt/span&gt&lt/p&gt&lt/li&gt&ltli&gt&ltp&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtStrong communication and collaboration skills.&lt/span&gt&lt/p&gt&lt/li&gt&lt/ul&gt&lth3&gt&ltstrong&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtGood to Have&lt/span&gt&lt/strong&gt&lt/h3&gt&ltul&gt&ltli&gt&ltp&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtSAP BW / BW/4HANA knowledge.&lt/span&gt&lt/p&gt&lt/li&gt&ltli&gt&ltp&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtSAP S/4HANA / CDS Views.&lt/span&gt&lt/p&gt&lt/li&gt&ltli&gt&ltp&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtAzure Data Factory / Synapse.&lt/span&gt&lt/p&gt&lt/li&gt&ltli&gt&ltp&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtPower BI.&lt/span&gt&lt/p&gt&lt/li&gt&ltli&gt&ltp&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtUnity Catalog.&lt/span&gt&lt/p&gt&lt/li&gt&ltli&gt&ltp&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtExperience migrating EDW/BW workloads to Databricks.&lt/span&gt&lt/p&gt&lt/li&gt&lt/ul&gt&ltp&gt&ltstrong&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtKey Profile:&lt/span&gt&lt/strong&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gt&ltbr&gt&lt/span&gt&ltstrong&gt&ltspan style=&quotcolor:rgba(0, 0, 0, 0.87);&quot&gtDatabricks + SQL + PySpark + ETL/ELT + Lakehouse + Data Migration&lt/span&gt&lt/strong&gt&lt/p&gt