Senior Data Engineer - Starburst

DATAECONOMY · Pune City Subdistrict, Maharashtra, India

Information Technology & Services · 201-500 employees

Apr 28

Senior (5-10 yrs) Full-time India

About the role

Build and optimize data pipelines and federated data queries using Starburst. Integrate data from multiple sources while ensuring performance, reliability, and governance.

What they look for

Starburst Trino Presto Data Engineering SQL Query Performance Optimization AWS S3 ADLS HDFS Python Java Scala ETL/ELT Spark Kafka Iceberg

Requirements

Requires 8+ years of experience in data engineering and data platforms. Proficiency in SQL, Python/Java/Scala, and big data tools like Spark, Kafka, and cloud platforms is essential.

Full description

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