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Senior Data Engineer (AWS Redshift/PySpark)

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Onsite

Senior Data Engineer (AWS Redshift/PySpark)

Tata Consultancy Services

Senior Data Engineer (AWS Redshift/PySpark)

Skills

SQL QueriesData EngineeringAmazon RedshiftGitData AnalysisAWSGitHubGDPRPySparkApache Airflow

2 months ago

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Important information


Contract type:

Permanent

Location:

Budapest, Hungary

Work mode:

Onsite

Published on:

11 August 2026

What they need


About TCS Hungary:

At TCS Hungary, opportunity meets stability in a vibrant and dynamic work environment. Tata Consultancy Services is one of the world’s fastest-growing technology partners, employing over 600,000 people from 152 nationalities across 55 countries. Since our establishment in 2001 in Budapest, we’ve been committed to delivering exceptional services through the power of digital technology.

What You Will Do:

  • Design, build, and maintain robust data pipelines that are scalable, efficient, and meet business needs
  • Collaborate with cross-functional teams to understand and translate business requirements into data solutions
  • Ensure data quality, integrity, and governance by implementing best practices in data management
  • Develop ETL processes and data flows
  • Support and enhance data platforms, databases, and data warehouses to enable advanced analytics
  • Implement CI/CD pipelines using GitHub Actions and JFrog for automated deployment and version control
  • Troubleshoot data pipelines and address any issues with real-time, batch data processing, and integrations

What Do We Offer:

  • Market-leading private healthcare package
  • Attractive cafeteria package based on your choice
  • Hybrid working opportunity
  • Office gym and in-house sport clubs
  • Opportunities to grow through diverse roles and career paths
  • Special discounts offered by our partners
  • Access to world-class external learning platforms: Udemy, Oreilly, etc.
  • Extensive in-house self-development opportunities

What You Will Bring:

  • 5+ years of experience in data engineering
  • Experience with cloud data warehouse environments
  • Experience with AWS Redshift
  • Hands-on experience with PySpark and Apache Airflow
  • Strong SQL skills and deep understanding of query performance tuning in Redshift
  • Solid understanding of data modeling principles , including dimensional modeling (Kimball), normalized models, and hybrid strategies
  • Experience with monitoring tools ( CloudWatch , Redshift Console )
  • Familiarity with data versioning , CI/CD , and collaborative development practices in dbt

… and we appreciate if you have:

  • Experience in Airflow, AWS Glue

About Your Contract:

  • Full time, indefinite.
  • Working hours: 40 hours/week , office hours (hybrid).
  • Legal requirements: You need to be to be currently eligible to work in Hungary.

Join our diverse, collaborative workplace where your growth matters!

About Your Application:

Please include only information in your CV that is directly relevant to the role you are applying for. Our recruitment team will carefully review all applications and contact only those candidates whose profiles best match the current requirements.

Our data protection policy is as follows: hungarycareer.tcsapps.com/privacy-notice/

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