If youre passionate about exploring and exposing product and business data to stakeholders across and beyond, wed love to hear from you.
What youll do:
Lead the design and development of scalable and efficient data warehouse and BI solutions that align with organizational goals and requirements.
Utilize advanced data modeling techniques to create robust data structures supporting reporting and analytics needs.
Implement ETL/ELT processes to assist in the extraction, transformation, and loading of data from various sources into a shared data warehouse.
Identify and address performance bottlenecks within our data warehouse, optimize queries and processes, and enhance data retrieval efficiency.
Collaborate with cross-functional teams (product, finance, analytics, and R&D) to deliver actionable data solutions tailored to their needs.
5+ years of experience in a Data Engineering or BI development role
Expertise in building scalable pipelines and ETL/ELT processes, with proven experience with data modeling, including dimensional modeling and SCD handling
Expert-level proficiency in SQL and experience with large-scale datasets
Strong experience with cloud data platforms such as Snowflake, BigQuery, AWS S3, or Redshift
Hands-on experience with ETL/ELT tools and orchestration frameworks such as Apache Airflow, dbt
Experience with Python and software development
Knowledge of data governance, data quality frameworks or semantic layer management
Strong proficiency in BI tools such as Power BI, Tableau, Looker, or Qlik for building interactive dashboards and business reports
Strong analytical and storytelling capabilities, with a proven ability to translate data into actionable insights for business users
Collaborative mindset with experience working cross-functionally with data engineers, analysts and business stakeholders
Excellent communication and documentation skills, including the ability to write clear data definitions, dashboard guides, and metric logic
