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Senior Data Engineer - Starburst

Pune City, Maharashtra, India

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Tools in this posting

  • Java
  • Python
  • Scala
  • SQL
  • AWS
  • Azure
  • Delta
  • Google Cloud (GCP)
  • Iceberg
  • Kafka
  • S3
  • Spark
  • Trino
Source — Tool mentions in context
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) · 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) · 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

Job description

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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) · 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) · 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

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First seen by us
Jun 2, 2026
Recorded sightings
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Last seen by us
Oct 8, 2026
Employer says posted
Apr 28, 2026

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