Resume ready? Build an ATS-optimized one — free.
Try JotCV →Resume ready for this application?
Build an ATS-optimized resume free on JotCV →
Delhivery is hiring a skilled Data Engineer to build and maintain the data infrastructure that powers India's largest logistics network. You will work on real-time data pipelines, data warehousing, and analytics infrastructure supporting operations across 18,000+ pin codes.
The role involves handling massive volumes of shipment tracking, route optimization, and supply chain data. You will collaborate with data scientists, analysts, and product teams to deliver reliable, scalable data systems.
- Build and maintain Spark-based data processing pipelines
- Manage data warehouse on Snowflake/BigQuery
- Implement real-time data streaming with Kafka
- 3-5 years of data engineering experience
- Strong proficiency in PySpark or Scala/Spark
- Experience with data warehousing (Snowflake, BigQuery, or Redshift)
- Knowledge of stream processing with Kafka or Flink
- Advanced SQL skills
- Experience with workflow orchestration (Airflow)
- Familiarity with AWS or GCP data services
- Design and build batch and real-time data pipelines
- Maintain and optimize data warehouse models and schemas
- Ensure data quality through validation frameworks
- Collaborate with analytics and data science teams on data requirements
- Document data models and pipeline architecture
Job Overview
Stay Ahead in the
Jobspri Market
Join 50,000+ candidates receiving weekly job alerts, interview tips, and salary insights directly from top recruiters.
By subscribing, you agree to ourTerms of ServiceandPrivacy Policy.