Senior Data Engineer

The Senior Data Engineer will design and build tools and processes that help clients derive meaningful insights from their data. They will help clients understand their data needs and how to use data to reach business goals. They will also provide mentoring to data engineers.

They will work closely and collaboratively with our Data Architect and Business Solution Advisor, to develop solutions being increase value and confidence in our clients' data environments.

Responsibilities

Designs and implements secure data integration solutions for operations and analytics, leveraging best practices to design and implement high-performing ETL/ELT solutions Performs root cause analysis on data sets and processes to answer specific business questions and identify opportunities for improvement Builds and maintains KPI dashboards to disseminate information to measure/track results and drive business decisions Integrate reports, audits, and processes from various business systems Advocates for data quality and increases awareness of data stewardship and data governance concepts among data producers and consumers Assist with defining and maintaining business rules, policies, and governance for data Collaborates with Data Architect on project goals and approach Assist peers and data engineers as needed, to keep the team as productive and efficient as possible Work with QA and development peers to review and test code changes Requirements A minimum of eight years of progressive responsibility working as a Data Engineer or Data Integration Developer.

Advanced SQL skills with experience working with Microsoft Fabric Lakehouse, Fabric Warehouse, Azure SQL Database, Azure Synapse Analytics, and large-scale structured and semi-structured datasets Knowledge to leverage Artificial Intelligence and Machine Learning capabilities within Microsoft Fabric, Azure Machine Learning, Azure AI Services, and Python-based data science solutions Referenceable work history developing interactive dashboa