Role & responsibilities

Data Engineer

Experience: 5+ Years
Location: Hyderabad / Bangalore
Work Model: Hybrid

Job Summary

We are looking for an experienced Data Engineer to design, develop, and maintain scalable data pipelines for large-scale data processing. The ideal candidate should have strong expertise in PySpark, Apache Spark, Python, Scala, SQL, and contemporary data engineering frameworks. The role involves building high-performance ETL pipelines, optimizing distributed data processing, and collaborating with cross-functional teams to deliver reliable data solutions.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines for batch and real-time data processing.
- Develop and optimize PySpark applications for large-scale distributed data processing.
- Build and maintain ETL/ELT pipelines using Apache Spark.




- Write complex SQL queries for data extraction, transformation, and analysis.
- Develop reusable data engineering components and automation frameworks.
- Optimize Spark jobs for performance, scalability, and reliability.
- Perform data validation, reconciliation, and quality checks.
- Collaborate with data architects, analysts, and business stakeholders to understand requirements and deliver data solutions.
- Troubleshoot production issues and provide ongoing support.
- Maintain code repositories using Git and follow version control best practices.
- Work in Linux environments for deployment, monitoring, and troubleshooting.

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