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Vention

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Senior Data Engineer

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Summary

Senior Data Engineer in Tashkent who builds, maintains, and optimizes ETL pipelines and data integrations, writes complex SQL/PL/pgSQL (stored procedures, tuning, execution plans), and works across PostgreSQL, Databricks, Azure, and Power BI. Needs 4+ years in ETL/data engineering and B2+ English.

  • Develop, maintain, and optimize ETL processes and data integration workflows
  • Analyze, troubleshoot, and enhance existing ETL mappings, transformation logic, and data pipelines
  • Design and develop complex SQL and PL/pgSQL solutions, including stored procedures, functions, and advanced data transformations
  • Perform query optimization, execution plan analysis, and database performance tuning
  • Ensure data quality, consistency, and reliability across integrated systems
  • Collaborate with business and technical teams to translate requirements into efficient data solutions
  • Support data migration, integration, and modernization initiatives
  • 4+ years of experience in ETL development or Data Engineering
  • Hands-on experience with ETL tools such as Informatica PowerCenter, IBM DataStage, SSIS, Talend, ODI, Pentaho, or similar platforms
  • Strong experience with Python and SQL
  • Deep practical experience with PostgreSQL, Databricks, Azure, Power BI
  • Strong knowledge of PL/pgSQL, including development of large stored procedures, functions, dynamic SQL, temporary tables, CTEs, and window functions
  • Experience analyzing execution plans and performing SQL performance tuning as part of regular development activities
  • English level B2+ with the ability to communicate effectively with English-speaking stakeholders

Nice to have:

  • Experience with Greenplum or other MPP databases such as Vertica, Teradata, Netezza, or Amazon Redshift

Vention is a global engineering partner to tech leaders and fast-growing startups, combining 20+ years of product development expertise with an AI-first approach and a reputation for reliable delivery.

With 150+ data engineers and over 20 years of experience, we help startups and enterprises turn data into smart decisions and better user experiences. Our teams work with Python, Java, Scala, and R to build scalable data pipelines and infrastructure that power real results.

  • EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
  • Licenses for AI tools: GitHub Copilot, Cursor, and others
  • Expanded medical support for employees in Tashkent
  • 19 working days of vacation per year, 21 after two years in the company
  • Corporate getaway & teambuilding activities
  • Support for the significant events in your life
  • Referral bonuses for bringing in new talent

Skills

See also

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