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AWS Data Architect

3 weeks ago

Remote, Czech Republic Link Group Full time
  • 7+ years in data engineering, with at least 2 years as a data architect.
  • Strong experience with AWS, data modeling, and large-scale data warehouses.
  • Proficiency in Airflow, Snowflake, DBT, Apache Spark, and SQL.
  • Experience integrating third-party APIs and external data sources.
  • Expertise in data governance and system performance optimization.
  • Strong collaboration skills and experience in agile development.

Preferred Skills

  • Familiarity with adtech platforms (DSPs, ad servers, etc.).
  • Experience managing large, complex data sets.
  • Knowledge of DevOps, CI/CD, and version control systems.
  • Experience leading development teams.
,[Design, develop, and implement scalable data architectures for collection, storage, processing, and analysis., Lead and mentor the data engineering team, building and optimizing ETL pipelines with Airflow, Snowflake, and DBT., Define strategies for data partitioning, retention, governance, and security., Translate business requirements into technical solutions and document data architecture., Foster collaboration across engineering, product, and business teams., Drive innovation in data practices and system architecture., Manage project timelines and track progress to ensure delivery.] Requirements: AWS, Airflow, Snowflake, dbt, Apache Spark, SQL, Agile, DSPs, AD, DevOps, Version control system, CI/CD Tools: Agile, Scrum.