Senior Data Engineer - Starburst

Posted 20 Hours Ago
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Pune, Maharashtra, IND
In-Office
Senior level
Big Data • Cloud • Analytics • Consulting
The Role
Build and optimize Starburst-based data pipelines and federated queries, integrate databases, data lakes, and warehouses, and ensure performance, reliability, and governance. Collaborate with analytics, AI/ML, and business teams to deliver scalable data platforms and solutions.
Summary Generated by Built In

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



Skills Required

  • 8+ years of professional experience
  • Strong experience with Starburst, Trino, or Presto
  • Hands-on experience in data engineering and data platforms
  • Expertise in SQL and query performance optimization
  • Experience with data lakes, including AWS S3, ADLS, or HDFS
  • Programming knowledge in Python, Java, or Scala
  • Experience with ETL or ELT pipelines and distributed data processing
  • Familiarity with Spark, Kafka, Iceberg, or Delta Lake
  • Experience with AWS, Azure, or GCP cloud platforms
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The Company
414 Employees
Year Founded: 2018

What We Do

DATAECONOMY is a global, cloud-first data and AI consultancy delivering enterprise-grade solutions through an innovative intellectual-property suite. Its work spans data and BI platform modernization, self-service AI, data mesh and fabric, master data management, governance, cloud enablement, digital engineering, knowledge graphs, and machine lakes supporting cybersecurity and financial-crime use cases for enterprise clients.

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