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PythonWe are looking for a skilled and self-driven Data Engineer to strengthen our data platform and
improve overall data quality, reliability, and usability for customers and internal stakeholders.
This role is critical to building and maintaining scalable data pipelines, well-structured data
models, and analytics-ready systems. The ideal candidate has startup experience, enjoys
building systems from scratch, and takes ownership end to end.
Roles and Responsibilities
● Design, build, and maintain scalable data pipelines and ETL workflows to support
analytics and product use cases.
● Develop and manage data warehousing solutions using platforms like Snowflake,
Redshift, or ClickHouse.
● Ensure data quality, consistency, and reliability across all data sources and downstream
systems.
● Collaborate closely with product, analytics, and engineering teams to understand data
requirements.
● Build and optimize data models for reporting, dashboards, and analytics.
● Support and enable BI tools such as Power BI, Tableau, or Metabase.
● Monitor pipelines, troubleshoot issues, and continuously improve performance.
● Document data workflows, schemas, and processes for clarity and maintainability.
Skills and Qualifications
● Strong proficiency in SQL
● Experience with data warehousing platforms (i.e. Snowflake, Redshift, ClickHouse)
● Hands-on experience with ETL orchestration tools (i.e. Airflow, dbt, Dagster)
● Experience with dashboarding tools (Power BI, Tableau, Metabase)
● Strong programming skills in Python
● AWS experience is preferred
● Self-starter mindset with startup experience
● Strong problem-solving abilities
● Highly organized with a systems-thinking approach
● Ownership-driven and accountable
● Clear and effective communicator
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