Hands-on experience in Data Engineering and Data Platforms
Expertise in SQL and query performance optimization
Experience working with Data Lakes (AWS S3 / ADLS / HDFS)
Good programming knowledge in Python / Java / Scala
Experience with ETL/ELT pipelines and distributed data processing
Familiarity with Big Data tools like Spark, Kafka, Iceberg, Delta Lake
Experience with AWS / Azure / GCP cloud platforms
Responsibilities:
- Build and optimize data pipelines and federated data queries using Starburst
- Integrate data from multiple sources (databases, data lakes, warehouses)
- Ensure data performance, reliability, and governance
- Work with analytics, AI/ML, and business teams to deliver scalable data solutions
Requirements
Job Role: Senior Data Engineer Starburst
Experience: 8+ Years
Location: Pune (Hybrid/Remote depending on project)
Key Skills Required:
Strong experience with Starburst / Trino / Presto
Hands-on experience in Data Engineering and Data Platforms
Expertise in SQL and query performance optimization
Experience working with Data Lakes (AWS S3 / ADLS / HDFS)
Valuable programming knowledge in Python / Java / Scala
Experience with ETL/ELT pipelines and distributed data processing
Familiarity with Big Data tools like Spark, Kafka, Iceberg, Delta Lake
Experience with AWS / Azure / GCP cloud platforms
Responsibilities:
- Build and optimize data pipelines and federated data queries using Starburst
- Integrate data from multiple sources (databases, data lakes, warehouses)
- Ensure data performance, reliability, and governance
- Work with analytics, AI/ML, and business teams to deliver scalable data solutions
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Senior Data Engineer - Starburst (Maharashtra)
🏢 Data Economy
📍 Maharashtra
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