Data Engineer

4 days ago

Remote, Czech Republic Upvanta Full time
 Qualifications:
  • Proven hands-on experience with dbt, including model development, testing, and deployment.
  • Strong SQL proficiency and experience with at least one major data warehousing solution (Databricks, Redshift, or similar).
  • Familiarity with version control systems (e.g., Git) and CI/CD practices.
  • Solid understanding of data modeling concepts and ELT processes.
  • Strong problem-solving skills and the ability to work in a collaborative environment.

Overview:
We are seeking a highly motivated Mid-Level Data Engineer with strong hands-on experience in dbt to join our team. The ideal candidate will have a solid background in SQL, data warehousing, and ELT processes, with a strong focus on building scalable and reliable data pipelines. You will work closely with data analysts, engineers, and stakeholders to design, implement, and maintain data models that power business insights.

,[Develop, test, and deploy dbt models to support data transformation and analytics needs., Design and optimize SQL queries for large-scale datasets., Work with data warehousing platforms (e.g., Databricks, Redshift) to ensure efficient data storage and retrieval., Implement and maintain CI/CD pipelines for data workflows., Collaborate with cross-functional teams to define and improve data modeling standards and best practices., Ensure data quality, reliability, and consistency across all data products.] Requirements: dbt, SQL, Databricks, Redshift, CI/CD, Git, Data modeling

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