Data Engineer – Job Description Experience: 3–6 Years Location: Bangalore / Hyderabad Work Mode: Work From Office (WFO) Shift: 2:00 PM – 11:00 PM Joining: Immediate Joiners Preferred 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 Strong analytical and problem-solving skills Positive communication and interpersonal skill Good to Have Stakeholder Handling / Client Interaction Experience working in Agile environments Knowledge of cloud-based data platforms Understanding of data warehouse concepts

📌 Data Engineer (India)
🏢 Indium
📍 India