Data Engineer – Azure Data Platform & Pipelines
DLA Piper
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Job summary
DLA Piper is seeking a Data Engineer, Solutions & Data to design, build, and operate data pipelines that translate raw data into trusted datasets for analytics and downstream solutions.
The role focuses on governance, data quality, and secure access, consolidating data from multiple sources into a central SQL-based integration point for consumption by solution teams.
The position supports a hybrid work schedule in the U.S. and offers a competitive compensation range with comprehensive benefits.
Qualifications
- Strong SQL and Python skills.
- Experience with Azure Data Factory, Azure Databricks, Azure Event Hubs, and SSIS.
- Knowledge of data warehousing, data modeling, warehousing, and governance.
- Proficiency with PowerShell for platform ops and troubleshooting.
Responsibilities
- Build and operationalize data pipelines across heterogeneous environments with governance and SLAs.
- Consolidate data from multiple sources into a centralized integration point for analytics-ready data.
- Design and implement data pipelines using Azure data technologies to ingest, process, and deliver data.
- Identify, troubleshoot, and resolve data quality, latency, and security issues; monitor pipelines for reliability.
Skills
Education
Tools
Job description
DLA Piper is seeking a Data Engineer, Solutions & Data to design, build, and operate data pipelines that translate raw data into trusted datasets for analytics and downstream solutions.
The role focuses on governance, data quality, and secure access, consolidating data from multiple sources into a central SQL-based integration point for consumption by solution teams.
The position supports a hybrid work schedule in the U.S. and offers a competitive compensation range with comprehensive benefits.
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