Data Engineer, Data Platform
Company Overview
Glass Lewis is the world’s choice for governance solutions. We enable institutional investors and publicly-listed companies to make sustainable decisions based in research and data. We cover 30, 000+ meetings each year, across approximately 100 global markets.
Our customers include the majority of the world’s largest pension plans, mutual funds, and asset managers, collectively managing over $40 trillion in assets. We have teams located across the United States, Europe, and Asia-Pacific giving us global reach with a local perspective on the important governance issues. Founded in 2003, Glass Lewis is headquartered in San Francisco, California with additional offices in Kansas City, Missouri; Paris, France; Limerick, Ireland; Karlsruhe, Germany; Sydney, Australia; Tokyo, Japan; and Manila, Philippines.
Position:
We are hiring Engineers (2 positions) to join our Data Engineering team in Timisoara, Romania. Candidates must have broad experience in a cloud
- centric environment.
Responsibilities:
- Design, develop, and maintain data pipelines for a medallion architecture using Azure/Microsoft Fabric components (Data Factory, Synapse Analytics, Purview, etc. ).
- Building observability tools for data quality, consistency and security through the data pipeline
- Optimize data pipeline performance and efficiency.
- Stay
-
- date with the latest platform developments and trends. - Ensure projects are delivered on time, within budget, and with high quality.
- Report on project progress and status to stakeholders.
- Managing teams and mentoring team members and enabling them to progress in their careers.
Requirements
- Degree in computer science or equivalent with a minimum of 5 years’ experience in software development.
- Strong proficiency in Azure/Microsoft Fabric components (Data Factory, Synapse Analytics, Purview, etc. ) or AWS/GCP equivalents
- Experience with data pipeline development and optimization
- Familiarity with
- end toolkits for data stewards and observability - Familiarity with cloud computing and Dev
Ops practices. - Understanding of data quality and governance principles.
- Excellent communication and interpersonal skills.
- Strong
- solving and
- making abilities. - Experience working with Azure Dev
Ops and Git. - Strong documentation and communication skills.
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