- 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
- Strong analytical and problem-solving skills
- Good 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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