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Common Data Engineer title, mid-level experience, metro Bangalore, and broad Azure/Databricks/Informatica requirements raise competition.
Core data engineering skills (Databricks, PySpark, ETL) are highly transferable across industries.
Explicit years plus multiple mandatory technologies (Informatica, Databricks, Control-M, PySpark) make shortlisting strict.
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Design, develop, execute, and monitor complex data integration activities and ETL processes using Azure Databricks, Informatica PowerCenter, and related technologies for client projects.
Optimize existing data integration processes and maintain high-volume data warehouse applications, including performance tuning and troubleshooting of ETL mappings and jobs.
Mentor junior analysts; manage multiple tasks including unit, system integration, regression testing, and support critical system issue resolution with adherence to development standards.
2 to 4 years of relevant data engineering experience with at least 2 years on Azure Databricks.
Bachelor's or Master's degree in Computer Science or Information Systems from a reputed university.
Mandatory skills: Azure Databricks, Python, PySpark, SparkSQL, Azure Functions, Delta Lake, Azure DevOps CI/CD, Informatica PowerCenter 10.x, Data Quality, Master Data Management, Control-M, MSSQL Server database development, Windows PowerShell/UNIX Shell scripting.
Location requirement: On-site in Bengaluru, Karnataka, India. Scheduled weekly hours: 40.
Experienced in independently delivering complex data integration and ETL solutions in fast-paced, diverse environments involving complex real estate data and multiple technologies.
Strong technical communicator capable of collaborating across business teams and multiple technical teams including application support and network operations.
Proven ability in managing and optimizing performance of large-scale data pipelines and maintaining standards for code and processes across development environments.