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Mid-level data engineer in Bangalore, common title and experience band with metro location drives high applicant competition.
Data engineering skills are broadly transferable, though Azure/Databricks focus and finance context add moderate specialization.
Requires 5+ years and mandatory Azure/ADF/Databricks/SQL and data warehousing expertise, making filters strict.
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Build and maintain data pipelines and data warehousing solutions on MS Azure platform using Azure Data Factory and Databricks.
Lead migration of on-premise data solutions to Microsoft Azure, ensuring reusability across business functions.
Collaborate with cross-functional teams to analyze, model, and transform large complex datasets for business intelligence, operational reporting, and analytics.
Bachelor’s degree in Computer Science, Mathematics, Statistics or related field.
5+ years of hands-on experience in data solutions development with strong data warehousing expertise using Kimball dimensional design.
Strong experience in MS SQL database development; ETL development experience with Informatica or equivalent tools.
Recent development experience with MS Azure platform technologies including Databricks, Azure Data Factory (ADF), Kafka, Python (or R), Spark, and Change Data Capture (CDC).
Experienced in Kimball dimensional modeling and MS SQL with ability to advise on data modeling and database technologies.
Skilled in cloud migration projects specifically moving on-premise data warehouses to Azure ecosystem.
Capable of developing scalable, reusable data solutions and comfortable collaborating with technical and business stakeholders to solve complex data issues.