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Data Engineer

Insight Global

Job Description Our client is seeking a Data Engineer to design, build, and optimize enterprise data solutions within the Azure ecosystem. This individual will develop scalable data pipelines, data lake and warehouse solutions, and advanced data transformations using Azure Synapse, Apache Spark, T-SQL, Python, and/or Scala. Responsibilities include data modeling, ETL/ELT development, performance tuning, monitoring platform health, and implementing governance and security best practices. The engineer will partner closely with business analysts, data scientists, and stakeholders to deliver reliable, high-performing data platforms while working in an Agile environment utilizing DevOps and CI/CD practices. 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 View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience Strong experience with Azure Synapse Analytics and Azure Data Lake Storage Advanced T-SQL development and performance tuning experience Hands-on experience with Apache Spark using Python and/or Scala Experience designing and building enterprise ETL/ELT data pipelines Data warehouse and data modeling experience Experience with Git source control and CI/CD pipelines in Azure DevOps Strong communication skills and ability to work with technical and business stakeholders Experience supporting large-scale cloud-based data platforms Azure Data Factory experience Azure Data Lake Gen2 expertise Dedicated and Serverless SQL Pool experience Azure Databricks Azure Functions, Event Hubs, Logic Apps, Key Vault, and Power BI Azure Data Engineer Associate or Azure Solutions Architect certifications Delta Lake or Lakehouse architecture experience Knowledge of data governance, security, compliance, NERC/FERC, GDPR, or CCPA standards Insight Global

Vacancy posted 1 day ago
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