Data Engineer

Job Description

•  Design, develop, and maintain data pipelines using Azure Data Factory and Synapse Data Analytics.
•  Develop and optimize SQL queries for data extraction, transformation, and loading (ETL).
•  Collaborate with cross-functional teams to understand data requirements and deliver solutions.
•  Manage and optimize cloud-based data infrastructure.
•  Implement data governance and ensure data quality and security.
•  Create and maintain data models and mappings.
•  Perform performance tuning and optimization in Azure.
•  Develop Power BI visualizations to support business decision-making.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements

•  3+ years of experience in a Data Engineering role, with Azure as the primary cloud platform preferred
•  Strong experience designing and developing data ingestion, transformation, curation, and provisioning solutions using Azure data services
•  Deep expertise with Azure Data Factory and Azure Synapse notebooks
•  Recent, hands-on experience utilizing PySpark within Azure Synapse notebooks
•  Extensive experience developing in Python
•  Strong verbal and written communication skills
•  GitHub Enterprise for deployment strength
•  Azure Monitor Service
•  Microsoft Fabric experience
•  Masters degree or PHD
•  Utility or Energy Experience