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Senior Data Warehouse Engineer
About this role
Fingerprint is a remote, global company that focuses on online security and identity verification through data-driven insights. The Senior Data Warehouse Engineer role involves shaping the data backbone for the platform, collaborating with data scientists, analysts and engineers to build scalable data warehouses and robust data pipelines. The position expects you to design, implement and optimise data warehouse solutions and ELT processes, with a focus on data quality, performance and cost efficiency. The company works with cloud data warehouses and emphasizes a data-driven culture and cross-functional teamwork.
What you would do
- Architect and build scalable, high-performance data warehouse solutions
- Develop and maintain reliable, well-documented data pipelines and ELT processes
- Tune and optimise data warehouse performance through partitioning, indexing and query optimisation
- Partner with analysts and scientists to transform raw data into actionable analytics and models
- Troubleshoot, monitor and refine data warehouse infrastructure
- Foster a data-driven culture by promoting clean, well-structured data
- Work with cloud data warehouses like ClickHouse and ensure integration with services
- Contribute to development of developer-facing data tools
What they are asking for
- Team player with collaboration in cross-functional settings
- High ownership and autonomy in ambiguous environments
- Strong English communication for a global, remote team
- Extensive experience designing, implementing and optimising data warehouses in cloud environments (AWS, GCP)
- Hands-on expertise with data modelling and transformation tools like dbt
- Excellent SQL skills and familiarity with columnar storage data warehouses (ClickHouse, Databricks, BigQuery, Snowflake)
- Experience with data pipeline orchestration tools (Prefect or Airflow)
- Familiarity with BI tools (Apache Superset, Sigma, Tableau, Looker) a plus
- Solid software engineering practices (version control, code reviews, testing, automation)
- Exposure to infrastructure-as-code tools (Terraform) and a DevOps mindset; scripting/automation in Bash, Python or Go a bonus
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