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About the role
About Delhivery: Delhivery is India's leading fulfillment platform for digital commerce. With a vast logistics network spanning 18,000+ pin codes and over 2,500 cities, Delhivery provides a comprehensive suite of services including express parcel transportation, freight solutions, reverse logistics, cross-border commerce, warehousing, and cutting-edge technology services. Since 2011, we've fulfilled over 550 million transactions and empowered 10,000+ businesses, from startups to large enterprises. Vision : To become the operating system for commerce in India by combining world-class infrastructure, robust logistics operations, and technology excellence . About the Role: Data Enginee r We're looking for a Data Engine er who can design, optimize, and own our high-throughput data infrastructure. Are you a passionate Kafka and Kafka Connect ecosystem data engineer looking for an exciting opportunity to work on cutting-edge big data projects Look no further! Delhivery is seeking a talented and motivated Streaming Data Engineering Expert to join our dynamic team. Responsibilities: Develop and optimize Streaming ETL applications to process large-scale data efficiently Collaborate with cross-functional teams to design and implement data-driven solutions Troubleshoot and resolve performance issues in ETL Pipelines Requirements: Proficient in Kafa Connect, data pipelines, Kafka, Real-time streaming, connectors, etc 1+ years of professional experience with Big Data systems, pipelines, and data processing Solid understanding of distributed systems, Spark, Databases, System design, and big data processing framework Familiarity with Hadoop ecosystem components (HDFS, Hive, HBase) is a plus
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