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Mid-level metro data analytics role with broad skills and moderate employer brand increases competition.
Data engineering skills (SQL, Python, dbt, Airflow) are highly transferable across industries.
Explicit 5+ years and mandatory BigQuery, dbt, SQL, Python, and ETL tooling make filtering strict.
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Build and maintain automated data pipelines, transformations, and dashboards on BigQuery supporting FarmerChat analytics across multiple countries.
Establish and stabilize analytics infrastructure for long-term scalability, including data warehousing, DevOps, and repository migration.
Develop key metrics and deliver recurring insights to leadership, donors, and country teams to guide product growth and strategy.
Minimum 5 years experience in data engineering and analytics with digital platforms.
Proficiency with SQL, Python, BigQuery, cloud data platforms (GCP, AWS, Azure), and tools like dbt or Databricks for data modeling.
Experience building and maintaining ELT pipelines focusing on transformation layers and working with event data from mobile or conversational products.
Bachelor's degree required; Master's degree is preferred.
Senior data engineer with hands-on experience building analytics infrastructure from early stages to scale, including data warehousing and CI/CD practices.
Skilled in cross-functional collaboration with product, research, and country teams to translate data into actionable insights and strategic recommendations.
Experienced in managing high-volume data workflows and developing dashboards that enable data-driven decision-making across multiple geographies and user segments.