Analytics Engineer
Core
Design, build, and maintain scalable data infrastructure, pipelines, and models to transform raw data into clean, reliable datasets for analytics and data-driven products.
Role type
Data Engineer
Builds
Data pipelines, data models, and analytics-ready datasets
Domain
Fintech / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, ETL/ELT, orchestration tools (Airflow, dbt), cloud data warehouses (BigQuery, Snowflake, Redshift), cloud platforms (GCP, AWS, Azure), Git, data modeling, data governance
Preferred skills
Streaming (Kafka, Pub/Sub), infrastructure-as-code, data catalog/observability tools, system integrations
Technologies
Airflow, dbt, BigQuery, Snowflake, Redshift, GCP, AWS, Azure, Kafka, Pub/Sub, Git
Responsibilities
Design and maintain scalable ETL/ELT pipelines; Develop and maintain data models and transformations; Ensure data quality, integrity, and governance; Optimize storage, query performance, and pipeline cost; Partner with analysts and scientists to deliver required datasets; Apply security and compliance best practices
Seniority
Mid-level, hands-on IC
