Job Description
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 Engineer
We're looking for a Data Engineer 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
More Info
Key Skills
Big Data systems
Kafka Connect
About Company
