Data Engineer (Spark | SQL | Real time Data Streaming)

Role: Data Engineer (Spark | SQL | Big Data Pipelines)

Location: Bengaluru, India (3 days Onsite/week)

Must Have: Spark, SparkSQL, Data Streaming/Batch Processing, HDFS, Kafka Streaming

Note : Were specifically looking for immediate joiners or candidates who are ready to start immediately or with a very short notice period. Must be Local to Bengalore and comfortable working on Hybrid Model.

About the Role

We are looking for a Data Engineer with 35 years of hands-on experience in building and optimizing data pipelines using Apache Spark and SQL . The ideal candidate will have a solid understanding of batch data processing, Data Streaming , data reliability, and performance optimization. You will collaborate with cross-functional teams to design scalable data solutions that support analytics and business objectives.

Must-Have Skills:

• 35 years of hands-on experience with Apache Spark (including SparkSQL ).
• Strong SQL expertise ability to write complex, optimized queries.
• Solid batch processing experience (scheduling, dependencies, performance tuning).
• Good understanding of data pipeline architecture and fundamentals .
• Experience handling structured and semi-structured data (CSV, JSON, Parquet).

Good to Have

• Python or PySpark experience (not mandatory but preferred).
• Exposure to data warehousing concepts and relational databases.

About Client:

A global e-commerce leader enabling millions of buyers and sellers to connect across markets. The platform delivers secure, scalable, and data-driven marketplace experiences. Engineers here build solutions that shape the future of digital commerce through innovation in payments, logistics, AI, and customer experience.