Dynamic 365 with Azure, ADF

Sr. Data EngineerIntroduction: As a Sr. Data Engineer on the Data Analytics Team, you will play a vital role in building a strong data ecosystem to support a new company-wide business intelligence and analytics environment. You will be responsible for designing and developing standardized datasets, implementing ETL/ELT processes, and creating scalable solutions to support data pipelines. Responsibilities: Troubleshoot and develop solutions to data engineering problemsCollaborate with team member

Job Title: L2 Data Engineer Job Location: Westerville OH / Phoenix, AZ / Remote Description: AgreeYa is a global Systems Integrator and is seeking an L2 Data Engineer to join our growing team. We are seeking highly skilled and experienced Data Engineer II is sought to join a growing team. The ideal candidate has strong experience designing, building, and supporting scalable data pipelines and curated data solutions using Azure Data Factory and SQL Server. This role focuses on delivering reliabl

Primary Responsibilities Design, develop, and maintain enterprise ETL pipelines using Azure Data Factory (ADF), Informatica PowerCenter, and Python-based frameworks Build and optimize scalable data processing solutions using Python, Spark, and Databricks Support Medicaid analytics and federal reporting initiatives (e.g., T-MSIS, PERM, MARS, Quality of Care) Develop robust data validation, reconciliation, and audit-traceable data pipelines Write and optimize SQL and stored procedures across relat

3+ years with data processing systems in Azure (Data Factory, Data Lake storage, Data Bricks, Synapse Analytics) 3+ years working in an Agile development environment pairing DevOps with CI/CD pipelines. 5+ years developing ETL (Extract, Transform, Load) workflows that support efficient data movement and processing in on-prem cloud environments. 5+ years of database architecture and dimensional data modeling 5+ years of data migration activities Proficiency in writing and optimizing complex Pyth