Key Responsibilities
Develop and maintain scalable ETL/ELT data pipelines using Python and PySpark.
Write, optimize, and troubleshoot complex SQL queries.
Process and transform large datasets using PySpark and Big Data technologies.
Perform data extraction, transformation, cleansing, validation, and integration.
Ensure data pipelines are reliable, scalable, and optimized for performance.
Collaborate with engineering, analytics, and business teams to understand data requirements.
Handle stakeholder discussions and provide regular project updates.
Troubleshoot data pipeline issues and ensure timely resolution.
Required Skills
PySpark
SQL
Python
ETL/ELT Pipelines
Big Data Technologies
Solid analytical and problem-solving skills
Positive communication and interpersonal skill
Valuable to Have
Stakeholder Handling / Client Interaction
Experience working in Agile environments
Knowledge of cloud-based data platforms
Understanding of data warehouse concepts
📌 Data Engineer Bangalore Metropolitan Area
🏢 Indium
📍 Bangalore Metropolitan Area
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