Data Engineer (Spark | SQL | Big Data Pipelines)

Job Description

Role: Data Engineer (Spark | SQL | Big Data Pipelines) Location: Bengaluru, India Experience Neeeded: Spark, SQL, Data Streaming/Batch Processing, HDFS, Kafka Streaming Note : We?re 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 3?5 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: 3?5 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.