Analyze complex data, develop business intelligence tools, dashboards, and metrics, and build data solutions for self-service analytics. Manage data quality, metadata, lineage, governance, security, and access controls. Partner with business and technology teams to deliver insights and improve data management. The role uses Python, R, Spark, SQL, Snowflake, AWS, and visualization tools.

Build and support cloud-based data engineering solutions using Java, Scala, Python, databases, data warehouses, distributed computing, and streaming technologies. Collaborate with Agile engineering and product teams, develop and test full-stack solutions, optimize performance, review code, stay current with technology trends, and mentor other engineers. The role requires application development, big data, and cloud computing experience.

Lead data engineering work for enterprise marketing and messaging platforms. Design, develop, test, implement, and support scalable cloud and data solutions using Python, Java, Scala, SQL, AWS, big data tools, and data warehouses. Collaborate with Agile teams and product managers, build distributed and real-time data systems, conduct code reviews and unit tests, and mentor other engineers while exploring AI-assisted development tools.