Data Engineer
Core
Design, build, and maintain scalable data infrastructure (ETL/ELT pipelines, data warehouses, lakes) to power insights and decision-making across enterprise practices and client-facing analytics.
Role type
Senior IC Data Engineer
Builds
Enterprise data platforms, pipelines, and analytics infrastructure
Domain
Enterprise IT, Cloud Data Engineering
Deliverable
production ML models | infrastructure
Required skills
SQL, Python, PySpark, Apache Airflow, Terraform, Docker, Kubernetes, CI/CD, Data Modeling, Data Governance
Preferred skills
Streaming data processing, Data Mesh concepts, Metadata management tools, Cloud certifications
Technologies
Microsoft Fabric, Azure Synapse, Azure Data Factory, Databricks, Kafka, Spark, GitHub Actions
Responsibilities
Design and optimize scalable ETL/ELT pipelines; Architect and manage enterprise data warehouses and lakes; Write production-quality code for data transformation; Implement data governance and lineage tracking; Ensure data quality via automated monitoring; Partner with analysts and scientists to fulfill data requirements; Support CI/CD and infrastructure-as-code practices.
Seniority
Senior, hands-on IC
