Data Engineer
Insight Global
Position: Data Engineer
Location: Indianapolis, IN
Length: 6 month contract-to-hire
Rate: $50/hr - $60/hr - W2 ONLY
(Exact compensation may vary based on several factors, including skills, experience, and education)
Required Skills
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
Nice to Have Skills & Experience
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
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.
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