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.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
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
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