Job ID: GA-790706 (99690206)
Hybrid/Local Azure Synapse Developer (DP-203/AZ-900 must/15+) with ADF, SQL, Data Lake/Functions, DevOps, CI/CD, Git, DW, Power BI, Databricks, Python, JIRA/Azure Boards, Agile experience
Location: Atlanta, GA (CJCC)
Duration: 4 Months
Local Candidates Only – Onsite visits to the office will be required 1-2 times per month.
Skills:
• Bachelor’s degree in Computer Science, Information Systems, or related field. Required
• 3+ years of experience in ETL development with at least 1 year using Azure Data Factory. Required 3 Years
• Proficiency in SQL, Azure Synapse, Azure Data Lake, and Azure Functions (minimum of 5 years experience). Required 5 Years
• Experience with CI/CD pipelines, Git, and DevOps practices (minimum of 5 years experience). Required 5 Years
• Strong understanding of data modeling, data warehousing, and cloud architecture (minimum of 5 years experience). Required 5 Years
• Microsoft Azure certifications (e.g., DP-203, AZ-900). Required
• Experience with Power BI, Databricks, or Python for data transformation. Required 5 Years
• Familiarity with Agile methodologies and tools like JIRA or Azure Boards (minimum of 5 years experience). Required 4 Years
Description:
The Criminal Justice Coordinating Council (CJCC) is seeking a skilled ETL Programmer with hands-on experience in Azure Data Factory (ADF)to design, develop, and maintain robust data pipelines and integration solutions.
Local Candidates Only – Onsite visits to the office will be required 1-2 times per month.
Key Responsibilities
Design and implement ETL processes using Azure Data Factory,Data Flows, and Mapping Data Flows.
Integrate data from various sources including SQL Server, Blob Storage, APIs, and third-party systems.
Develop and maintain data pipelines and data warehouses in Azure.
Monitor and troubleshoot ETL jobs to ensure data quality and performance.
Collaborate with analysts, and business stakeholders to understand data requirements.
Implement data governance, security, and compliance best practices.
Automate data workflows and optimize performance for large-scale data processing.