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[C3T] Data Warehouse Engineer

Software Mind
Location
Warsaw, Masovian Voivodeship, Poland
Workplace
Remote
Employment
Full Time
Salary
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Posted today

Project – the aim you’ll have

We are looking for a proactive and analytical DWH Engineer who is eager to take on new challenges and think outside the box. The ideal candidate will have a commercial experience in datawarehouse and cloud areas, with additional experience in AWS and PowerBI being a plus. Prior experience in the media or advertising industry is not required; we value curiosity and a willingness to learn.

Role – how you’ll contribute

  • Analyze, process, and interpret large datasets to generate actionable insights
  • Develop and maintain ingestion and transformation processes
  • Design data warehouse models

Expectations – the experience you need

  • Commercial experience with cloud-based solutions (at least 2 years)
  • Commercial experience with data warehouses (at least 1 year)
  • Strong proficiency in SQL (including complex analytical queries and data transformations)
  • Understanding of the Data Lakehouse approach
  • Experience with source version control systems (Git)
  • Familiarity with Snowflake, dbt, and the AWS stack (MWAA, Lambda, SQS, SNS, S3) is an advantage
  • Experience with data visualization and BI tools (such as Power BI or Looker) is a plus
  • Excellent analytical and problem-solving skills
  • A proactive, open-minded approach to challenges and learning new technologies
  • Strong communication and collaboration skills

What we offer

  • Flexible and remote cooperation options
  • International projects with leading global clients
  • Travels related to international projects
  • Non-corporate atmosphere
  • Access* to language classes
  • Access* to knowledge-sharing initiatives
  • Access* to private healthcare and life insurance
  • Access* to multisport card

*The availability and terms of individual benefits may vary depending on the chosen form of cooperation.

Skills

  • AWS
  • Power BI
  • SQL
  • Git
  • Snowflake
  • dbt
  • AWS Lambda
  • AWS SQS
  • AWS SNS
  • S3
  • Looker

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