Live opening · Posted 7 days ago
The key details from the original listing.
Description supplied by the original job listing.
We're seeking a Sr. Data Engineer to build and optimize data pipelines using Python, SQL, Azure Data Factory (ADF), and Microsoft Fabric, with a focus on pipelines that feed and consume mastered data from Informatica MDM.
Key Responsibilities
* Design, build, and maintain data pipelines in Azure Data Factory and Microsoft Fabric
* Write and optimize SQL queries and Python scripts for data processing and transformation
* Build and maintain integrations between Informatica MDM and downstream systems, preserving golden records, cross-references, and match/merge outcomes
* Validate data quality and reconcile mastered data across systems
* Collaborate with data analysts, data stewards, and stakeholders to understand requirements
* Troubleshoot data integration issues and optimize pipeline performance
* Document processes and maintain technical specifications
Required Skills
* Strong proficiency in Python
* Strong SQL expertise (query writing, optimization, database design)
* Hands-on experience with Azure Data Factory (ADF)
* Experience with Microsoft Fabric
* Hands-on experience with Informatica MDM (MDM Hub / Multidomain MDM)
* Understanding of MDM concepts: match/merge, survivorship, golden records, data stewardship
* Understanding of ETL/ELT concepts and data pipeline architecture
* Ability to work independently in a remote environment
Nice-to-Have but Not required
* Experience with Informatica Data Director (IDD) or Informatica Data Quality (IDQ)
* Healthcare master data experience (patient, provider, location, or EMPI)
* Familiarity with Azure Synapse, Databricks, or other modern data stack tools
* Experience with version control (Git)
* Knowledge of cloud data warehouse concepts
Work arrangement
Yes
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