Senior Data Engineer - Starburst

Pune City, Maharashtra, India

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

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What you’ll work on

Full posting

Build and optimize data pipelines and federated data queries using Starburst
Integrate data from multiple sources such as databases, data lakes and warehouses
Ensure data performance, reliability and governance
Deliver scalable data solutions with analytics, AI/ML and business teams

From the employer’s posting

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

What you’ll bring

All qualifications

Core experience

8+ years of experience
Strong experience with Starburst, Trino or Presto
Expertise in SQL and query performance optimization
Experience with data lakes (AWS S3, ADLS or HDFS)
Good programming in Python, Java or Scala

Qualification wording

8+ Years

Strong experience with Starburst / Trino / Presto

Expertise in SQL and query performance optimization

Experience working with Data Lakes (AWS S3 / ADLS / HDFS)

Good programming knowledge in Python / Java / Scala

Tools in this posting

Java
Python
Scala
SQL
AWS
Azure
Delta Lake
GCP
Iceberg
Kafka
S3
Spark
Trino

Source

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

Posting record

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Open 4 monthsWe first saw this posting 149 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Jun 2, 2026 · 149 days ago
Recorded sightings: 75
Last seen by us: Oct 29, 2026
Employer says posted: Apr 28, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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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

Source details

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Location & working pattern

Pune City, Maharashtra, India

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