Teradata ETL & Data Warehousing Engineer

Flint International

Poland

On-site

PLN 120,000 - 180,000

Full time

10 days ago

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Job summary

Flint International is seeking a hands-on Data (ETL) Engineer to support data integration, transformation, and analytics initiatives. You will work with Teradata technologies, ETL development, data warehousing, and SQL to build and maintain reliable data pipelines.

German language proficiency (B2–C1) is mandatory, and good working English is required. The role involves optimizing query performance, validating data quality, troubleshooting data issues, and collaborating with stakeholders to meet

Qualifications

  • 3–5 years hands-on Teradata experience.
  • ETL development and data integration expertise.
  • Data warehousing concepts and methodologies.
  • SQL and database performance optimization.
  • Data validation and troubleshooting.
  • Strong analytical and problem-solving skills.
  • Ability to work independently as well as in a team.

Responsibilities

  • Design, develop, and maintain ETL processes and data integration solutions.
  • Extract, transform, and load data from multiple sources into Teradata environments.
  • Develop and optimize complex SQL queries.
  • Support and maintain data warehouse solutions.
  • Perform data validation and ensure data accuracy and consistency.
  • Troubleshoot ETL, database, and data-quality issues.
  • Identify opportunities to improve ETL performance and efficiency.
  • Collaborate with technical and business stakeholders to understand data requirements.
  • Support analytics and reporting initiatives by ensuring reliable and accessible data.

Skills

Teradata
ETL development
Data integration
SQL
Data warehousing
Data validation
Troubleshooting
Analytical thinking
Independent / team work

Tools

Teradata

Job description

Flint International is seeking a hands-on Data (ETL) Engineer to support data integration, transformation, and analytics initiatives. You will work with Teradata technologies, ETL development, data warehousing, and SQL to build and maintain reliable data pipelines.

German language proficiency (B2–C1) is mandatory, and good working English is required. The role involves optimizing query performance, validating data quality, troubleshooting data issues, and collaborating with stakeholders to meet

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