Data Engineer
Required skills
SQL, Python, Spark, Hadoop, data modeling, ETL/ELT processes, data pipeline development, data governance, data quality, metadata management, data warehousing, data lakes, big data technologies, data integration, orchestration, automation, containerization, cloud-native data solutions
Technologies
AWS, Azure, GCP, Docker, Kubernetes
Responsibilities
Design, build, and maintain scalable and efficient data infrastructure, develop and manage end-to-end data pipelines, implement data orchestration processes, build and maintain robust ETL/ELT pipelines, design and develop data models, integrate data from enterprise systems, partner with business stakeholders, translate business problems into data solutions, deliver insights to non-technical audiences, support advanced analytics use cases, develop reusable frameworks, build containerized data solutions, monitor and optimize data pipelines, ensure data quality and governance, document and validate data sources, lead projects or workstreams independently, act as a subject matter expert, collaborate across cross-functional teams
Seniority
10+ years of experience
Domain
Group Benefits Product Data Analytics
