Drive innovation in data engineering by creating robust data architectures and pipelines. Collaborate with cross-functional teams to ensure data quality and accessibility in a hybrid work environment.
As a Senior Data Engineer, you will craft scalable solutions that enhance data accessibility and analytics. Your responsibilities will involve maintaining data models, supporting data governance, and delivering high-quality, reliable data pipelines. Collaborating with data scientists and analysts, your work is critical in driving insights and empowering decision-making.
Key Responsibilities: • Architect and develop a scalable Databricks data platform • Ensure data quality through robust governance practices • Design high-performance ETL/ELT pipelines with Delta Live Tables • Implement proactive monitoring for pipeline reliability • Build self-service tools for data exploration