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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 StreamingNote: 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 RoleWe 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.