Senior Data Engineer
Core
Architect, build, and maintain robust, highly scalable data infrastructure including real-time and batch ETL/ELT pipelines, data lakehouses, and warehouses.
Role type
Senior Data Engineer
Builds
Enterprise-grade data applications, scalable data pipelines, and internal automation solutions
Domain
Cloud data engineering and data platform architecture
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, Apache Airflow, dbt, data modeling, cloud platforms (GCP/AWS/Azure), Docker, Kubernetes, CI/CD
Preferred skills
AI/ML frameworks (TensorFlow, Pytorch), web scraping (Selenium), Generative AI solutions, mentoring
Technologies
Apache Airflow, dbt, Snowflake, BigQuery, Redshift, TensorFlow, PyTorch, Selenium, Docker, Kubernetes
Responsibilities
Lead the full data engineering lifecycle from architectural design to operational management; Design and automate scalable data processes integrating diverse systems and APIs; Define and enforce best practices for data governance, quality, and lineage; Partner with cross-functional teams to translate business requirements into technical specifications; Mentor junior data engineers and conduct code reviews
