Senior Azure Data Engineer

Data Engineer

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.

Skills and Requirements: At least 2 years of experience in a Data Engineering role, using Azure as the primary cloud provider. Expertise in Azure Data Factory and Azure Synapse notebooks. Strong and recent experience utilizing PySpark in Synapse notebooks. Must be familiar with Azure Monitor Services. Strong Python experience. Very strong communication skills. Experience with AI. GitHub Enterprise for deployment strength. Masters degree or Azure certifications.