Job Description
• Design, develop, and maintain scalable data pipelines and ETL processes using Databricks and other Azure services.
• Implement data storage solutions leveraging Azure Databricks and Azure Data Lake Storage.
• Implement infrastructure-as-code using Terraform to automate deployment and configuration of Databricks and Azure resources.
• Optimize data workflows for performance, reliability, and cost-efficiency.
• Monitor and troubleshoot data pipeline issues and implement proactive solutions.
• Contribute to the architecture and strategy for enterprise AI data platforms.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver robust solutions.
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: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
• Proven expertise with Azure Databricks and data processing frameworks.
• Strong understanding of data warehousing, ETL processes, and data pipeline design.
• Experience with SQL, Python, and Spark.
• Excellent problem-solving and analytical skills.
• Effective communication and teamwork abilities.
• Azure Databricks, Azure Services
• Python and other relevant programming languages for data processing and transformation
• Apache Spark, SQL
• ETL processes
• Data Warehousing
• Data Pipeline Design
• Terraform,
• CI/CD automation - familiar with Github Actions
• Azure Databricks, Azure Services
• Python and other relevant programming languages for data processing and transformation
• Apache Spark, SQL
• ETL processes
• Data Warehousing
• Data Pipeline Design
• Terraform,
• CI/CD automation - familiar with Github Actions
Nice to Have Skills & Experience
AI/ML Experience
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.