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Tier-1 brand, metro Bangalore location, and popular Data Engineer title drive high candidate competition.
Core data engineering skills are transferable but SAP BODS/HANA and enterprise BI requirements increase industry specificity.
Explicit 10+ years and specialized ETL, Azure/Databricks, SQL, and SAP BODS requirements make shortlisting highly strict.
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Build, develop, and optimize scalable ETL/ELT data pipelines using SAP BODS, SnapLogic, and Azure data services including Databricks.
Develop complex SQL/PLSQL queries and Python code for data processing, automation, and pipeline orchestration.
Architect and maintain data solutions and BI/dashboard reporting leveraging Microsoft SQL Server, SAP HANA, Power BI/Tableau, and AI/ML features.
10+ years of experience in data analytics or data engineering.
Proven expertise with ETL tools SAP BODS and SnapLogic.
Strong skills in SQL and PL/SQL, including query optimization; experience with Microsoft SQL Server and SAP HANA on-prem databases.
Experience with Microsoft Azure cloud platform including Azure Databricks; proficiency in Python scripting and BI tools (Power BI, Tableau); Bachelor's degree in Computer Science, Engineering, or related field.
Senior-level data engineer with deep on-prem and cloud data pipeline expertise, especially in Microsoft Azure and ETL tooling.
Experienced in integrating AI/ML capabilities into analytics pipelines and building scalable data solutions.
Comfortable working on complex SQL optimization, Python automation, and modern data stacks including Delta Lake and Spark.