Analytics Engineer
Core
Building internal data products and scaling decision-making across business teams by creating trusted data, metrics, and self-serve tools.
Role type
Analytics Engineer
Builds
Internal data products, canonical datasets, and self-serve analytics tools
Domain
Food delivery / E-commerce / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python or Scala, data visualization (Looker, Tableau, Sigma), data quality checks, database fundamentals (S3, Trino, Hive, Spark), SQL performance tuning
Preferred skills
Modern data warehousing platforms (Snowflake, Databricks, Redshift), workflow orchestration (Airflow, Dagster, DBT), A/B testing concepts
Technologies
SQL, Python, Scala, Tableau, Sigma, Mode, Looker, S3, Trino, Hive, Spark, Pydeequ, Great Expectations, Snowflake, Databricks, Redshift, Airflow, Dagster, DBT
Responsibilities
Collaborate with data scientists, engineers, and stakeholders to translate business needs into data requirements; Develop structured solutions to generate insights and resolve key business questions; Build and maintain canonical datasets using high-volume ETL/ELT pipelines; Design metrics and data visualizations using dashboarding tools; Uphold high data integrity standards to increase reusability, readability, and standardization
Seniority
Mid-level (3+ years experience)