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Tyson Foods

Developer Data Engineering

About this role

Tyson IT Solutions India in Bangalore is hiring a Data Engineering Developer (IT Data Engineer II level) for a full-time role. The person designs and optimizes data pipelines with a focus on SQL and scripting, and supports ETL and data warehousing work. Day to day they also build data visualization dashboards, apply data governance and security standards, and help with cloud cost optimization and data streaming efforts. The role suits someone with a couple of years of hands-on data experience who can explain data topics to non-technical stakeholders.

Tyson Foods is hiring for Developer Data Engineering, a full-time role based in Bengaluru.

Who can apply: 2+ years. Skills: SQL, ETL, Data warehousing, Hadoop, Spark.

Hirastra checked that this opening is live. Apply directly through the official posting; applying is always free.

What you'll do

  • Design, implement and optimize data pipelines using SQL and scripting
  • Develop and maintain ETL processes and contribute to data warehousing solutions (star schema, Kimball or Snowflake methods)
  • Write and optimize SQL and calculations in data visualization tools; build and support dashboards
  • Enforce data governance policies and data security standards
  • Take part in cloud cost optimization and support data architecture and streaming initiatives
  • Collaborate with stakeholders to align data solutions with business needs

What you need

  • Bachelor's degree or relevant experience
  • 2+ years of relevant or practical experience
  • Proficiency in SQL and basic ETL tools
  • Understanding of data warehousing concepts and basic data architecture
  • Familiarity with data pipeline orchestration and monitoring
  • Initial exposure to big data technologies like Hadoop or Apache Spark
Location
Bengaluru
Work mode
See listing
Experience
2+ years
Pay
₹10–16 LPA (Est.)
Type
Full-time job, Developer
Added
27 October 2026

Skills

  • SQL
  • ETL
  • Data warehousing
  • Hadoop
  • Spark

"Est." = Hirastra's estimate based on market data, not an official figure.

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