Posted 12 June, 2026
Senior Data Engineer/ AMAT- Bangalore ITPL
Tranzeal Inc.
Bangalore, Karnataka, IN
Full Time
Reference: 26-00190-1238-1
JD:
8+ years in Data Projects – Proven track record of delivering end-to-end data engineering solutions including ETL/ELT pipelines, data models, and platform builds at enterprise scale.
• Expert SQL Skills – Advanced proficiency in complex joins, window functions, CTEs, query optimization, and performance tuning across large datasets.
• Strong PySpark & Python – Hands-on experience building distributed data processing pipelines, transformations, and automation scripts using PySpark and Python.
• Databricks Expertise – Working knowledge of Delta Lake, Unity Catalog, Workflows, medallion architecture (bronze-silver-gold), and lakehouse best practices.
• Azure & Cloud Skills – Solid experience with Azure cloud services including ADLS Gen2, Data Factory, Synapse, Key Vault, Azure DevOps, and CI/CD pipelines.
• Performance Tuning – Demonstrated expertise in optimizing Spark jobs, SQL queries, and cloud storage layers for cost efficiency, throughput, and reliability.
Work Location: ITPL, Bangalore
Mode of Work: 4 days WFO
8+ years in Data Projects – Proven track record of delivering end-to-end data engineering solutions including ETL/ELT pipelines, data models, and platform builds at enterprise scale.
• Expert SQL Skills – Advanced proficiency in complex joins, window functions, CTEs, query optimization, and performance tuning across large datasets.
• Strong PySpark & Python – Hands-on experience building distributed data processing pipelines, transformations, and automation scripts using PySpark and Python.
• Databricks Expertise – Working knowledge of Delta Lake, Unity Catalog, Workflows, medallion architecture (bronze-silver-gold), and lakehouse best practices.
• Azure & Cloud Skills – Solid experience with Azure cloud services including ADLS Gen2, Data Factory, Synapse, Key Vault, Azure DevOps, and CI/CD pipelines.
• Performance Tuning – Demonstrated expertise in optimizing Spark jobs, SQL queries, and cloud storage layers for cost efficiency, throughput, and reliability.
Work Location: ITPL, Bangalore
Mode of Work: 4 days WFO
