Data Engineer
2 miesięcy temu
● Developing and maintaining data models using tools like dbt to ensure our data is well-structured and accessible for analysis.
● Designing and implementing robust data pipelines to ingest, clean, and process investment-related data from various sources.
● Connecting and integrating data sources using Fivetran, ensuring seamless data flow into our Snowflake data warehouse.
● Implementing data governance policies and managing access rights to ensure that sensitive investment data is handled securely and compliantly.
● Collaborating closely with local and international colleagues to align data engineering efforts across business lines
● Building and maintaining data validation and testing frameworks to ensure data quality and reliability.
● Automating infrastructure management using Terraform, ensuring scalability and reliability of our data systems.
● Using Git for version control, ensuring that all changes to data pipelines, models, and infrastructure are tracked and managed effectively.
● A strong technical background with experience in data and analytics engineering
● Proven experience in building and managing data pipelines and models using tools like dbt, Fivetran, and Snowflake.
● Solid understanding of data governance, privacy and compliance topics
● A proactive mindset with the ability to work independently and drive initiatives forward.
While the below list is extensive, it's not a prerequisite to know all technologies listed. We value the ability to learn quickly and adapt to new environments:● SQL for querying and managing data
● dbt for data modeling
● Snowflake for data warehousing
● PowerBI for supporting new core semantic models
● Fivetran for data integration
● Cloud functions and python for data integration
● Terraform for infrastructure automation
● Git for version control
● Data validation frameworks for ensuring data integrity
- Hybrid work - office located in the city center of Warsaw (2/3 days of work from the office)
- B2B contract
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