Senior Data Warehouse Engineer
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People can join our workforce from almost any countryFull-TimeSenior
Salary152,000 - 205,000 USD per year
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Job Details
- Languages
- English
- Required Skills
- AWSPythonSQLAirflowClickhouseGoTerraformdbt
Requirements
- Extensive experience designing, implementing, and optimizing data warehouses in cloud environments (AWS, GCP, etc.).
- Hands-on expertise with data modeling and transformation tools like dbt.
- Excellent SQL skills and familiarity with modern columnar storage data warehouses (e.g., ClickHouse, Databricks, BigQuery, or Snowflake).
- Experience with data pipeline orchestration tools like Prefect or Airflow.
- Solid foundation in software engineering best practices: version control, code reviews, testing, and automation.
- Strong communication skills in English to navigate our global, remote team.
- A team player who loves collaborating in a tight-knit, cross-functional team.
- A high degree of ownership and autonomy, with a proven ability to thrive in ambiguous environments.
- Familiarity with BI tools (e.g., Apache Superset, Sigma, Tableau, Looker) is a plus.
- Exposure to infrastructure-as-code tools (like Terraform) and a DevOps mindset is a bonus.
- Bonus points for scripting/automation experience in Bash, Python, or Go.
Responsibilities
- Architect and build scalable, high-performance data warehouse solutions that empower analytics and operational excellence across our platform.
- Develop and maintain reliable, well-documented data pipelines and ELT processes, ensuring data quality and consistency.
- Continuously tune and optimize data warehouse performance—partitioning, indexing, and query optimization are your bread and butter.
- Partner with data analysts and scientists to transform raw data into insightful, actionable analytics and machine learning models.
- Troubleshoot, monitor, and refine our data warehouse infrastructure, balancing speed and cost efficiency.
- Foster a data-driven culture by sharing best practices and championing clean, well-structured data.
- Work with modern cloud-based data warehouses like ClickHouse and ensure seamless integration with our services.
- Contribute to the development of new developer-facing data tools that empower teams across the company.
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