Senior Data Engineer Starburst
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Job Summary
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
Required Skills:
Requirements Proficiency in Python programming. Advanced knowledge in mathematics and algorithm development. Experience in developing machine learning and deep learning models. Strong understanding of neural network architectures with emphasis on GenAI and LLMs. Skilled in data processing and visualization. Experienced in natural language processing. Knowledgeable in AI/ML deployment DevOps practices and cloud -depth understanding of AI security principles and practices.
