Senior Data Engineer - Starburst

DATAECONOMY Inc; Pune District; Hybrid; INR 3,000,000 - 6,000,000; Full time

Job summary

DATAECONOMY Inc. is seeking an experienced Senior Data Engineer to design and optimize data pipelines and federated queries using Starburst, Trino, and Presto.

You will integrate data from multiple sources, ensure performance and governance, and collaborate with analytics, AI/ML, and business teams. Ideal candidates have 8+ years in data engineering, strong SQL, and hands-on experience with data lakes on AWS/Azure/GCP, plus proficiency in Python/Java/Scala.

Qualifications

• 8+ years of experience in data engineering or related field.
• Proven hands-on experience with Starburst/Trino/Presto and data platforms.
• Strong SQL skills and ability to optimize query performance.
• Experience with data lakes on AWS S3, ADLS, or HDFS.
• Proficiency in Python, Java, or Scala.
• Experience building ETL/ELT pipelines and distributed data processing.
• Familiarity with Spark, Kafka, Iceberg, and Delta Lake.
• Experience with AWS, Azure, or 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.
• Collaborate with analytics, AI/ML, and business teams to deliver scalable data solutions.

Skills

Starburst

Trino

Presto

Data Engineering

SQL

Python

Java

Scala

ETL/ELT pipelines

Data Lakes

AWS S3

ADLS

HDFS

Spark

Kafka

Iceberg

Delta Lake

AWS

Azure

GCP

Job description

Experience: 8+ Years

Location: Pune (Hybrid/Remotedepending on project)

Key Skills Required:

• Strongexperience with Starburst / Trino / Presto
• Hands-onexperience in Data Engineering and Data Platforms
• Expertisein SQL and query performance optimization
• Experienceworking with Data Lakes (AWS S3 / ADLS / HDFS)
• Goodprogramming knowledge in Python / Java / Scala
• Experiencewith ETL/ELT pipelines and distributed data processing
• Familiaritywith Big Data tools like Spark, Kafka, Iceberg, Delta Lake
• Experiencewith AWS / Azure / GCP cloud platforms

Responsibilities:

• Buildand optimize data pipelines and federated data queries using Starburst
• Integratedata from multiple sources (databases, data lakes, warehouses)
• Ensuredata performance, reliability, and governance
• Workwith analytics, AI/ML, and business teams to deliver scalable data solutions

Requirements

Requirements

Key Skills Required:

• Strongexperience with Starburst / Trino / Presto
• Hands-onexperience in Data Engineering and Data Platforms
• Expertisein SQL and query performance optimization
• Experienceworking with Data Lakes (AWS S3 / ADLS / HDFS)
• Goodprogramming knowledge in Python / Java / Scala
• Experiencewith ETL/ELT pipelines and distributed data processing
• Familiaritywith Big Data tools like Spark, Kafka, Iceberg, Delta Lake
• Experiencewith AWS / Azure / GCP cloud platforms

Responsibilities:

• Buildand optimize data pipelines and federated data queries using Starburst
• Integratedata from multiple sources (databases, data lakes, warehouses)
• Ensuredata performance, reliability, and governance
• Workwith analytics, AI/ML, and business teams to deliver scalable data solutions