Data Engineer

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

• 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

• 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