Data Engineer
Core
Design, build, and maintain scalable data pipelines and storage systems on AWS to support analytics and data-driven decision-making.
Role type
Data Engineer
Builds
Scalable data pipelines, storage systems, and data architectures
Domain
Cloud data infrastructure (AWS)
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, Git, AWS services, Docker, Kubernetes, Apache Spark, Airflow, data modeling, ETL, data pipeline design, data warehousing
Preferred skills
Business Intelligence tools (Redshift, BigQuery, Snowflake), Agile/Scrum, mentoring
Technologies
AWS, Python, SQL, Git, Docker, Kubernetes, Apache Spark, Airflow, Redshift, BigQuery, Snowflake
Responsibilities
Design and maintain data solutions and pipelines; monitor platform performance and optimize efficiency; ensure data quality and operational excellence; collaborate with data scientists and stakeholders; shape BI and data warehousing vision; participate in strategic planning for data initiatives.
Seniority
Mid-level, hands-on IC
