Data Engineer
Core
Design, build, and maintain scalable data infrastructure to power analytics, reporting, and business decision-making.
Role type
Senior Data Engineer
Builds
Cloud data warehouses, ETL/ELT pipelines, real-time streaming workflows, and analytics-ready datasets
Domain
Cloud data engineering and data warehousing
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, ETL/ELT pipeline design, data modeling, cloud data warehousing, workflow orchestration, cloud infrastructure
Preferred skills
dbt, streaming platforms (Kafka, Kinesis), infrastructure as code (Terraform), container orchestration (Kubernetes)
Technologies
Snowflake, BigQuery, Redshift, Airflow, Prefect, Docker, Kubernetes, AWS, Azure, Google Cloud, Power BI, Tableau, Looker
Responsibilities
Build and maintain ETL/ELT pipelines; orchestrate workflows; manage cloud data warehouses; implement data quality validation and monitoring; optimize warehouse performance; deploy data services using Docker and Kubernetes; document pipelines and data models
Seniority
Senior, hands-on IC
