Seeking a motivated Data Engineer to join our team and support the modernization of our data estate. This role focuses on assisting with data pipeline development, migration of legacy systems, and maintaining scalable, secure, and efficient data solutions using modern technologies, particularly Microsoft Fabric and Azure-based platforms.
Work Location & Attendance:
Must be physically located in Georgia
On-site: Tuesday to Thursday (per managers discretion)
Mandatory in-person meetings: All Hands, Enterprise Applications, All Staff
Skill
Required / Desired
Amount
of Experience
Bachelor's degree in computer science, Information Systems, or related field.
Required
Years
3-5 years of experience in data engineering or related roles.
Required
Years
Familiarity with LangGraph and RAG DB concepts.
Required
Years
Understanding of ETL/ELT pipelines and data warehousing concepts.
Required
Years
Knowledge of CI/CD automation with Azure DevOps.
Nice to have
Years
Familiarity with data governance tools (Microsoft Purview, Unity Catalog).
Nice to have
Years
Experience with SSIS package migration and maintenance.
Nice to have
Years
Key Responsibilities
Assist in designing, building, and maintaining ETL/ELT data pipelines using Microsoft Fabric and Azure Databricks.
Support migration and maintenance of SSIS packages from legacy systems.
Implement medallion architecture (Bronze, Silver, Gold) for data lifecycle and quality.
Create and manage notebooks (Fabric Notebooks, Databricks) for data transformation using Python, SQL, and Spark.
Build curated datasets to support Power BI dashboards.
Collaborate with data analysts and business stakeholders to deliver fit-for-purpose data assets.
Apply data governance policies in line with Microsoft Purview or Unity Catalog.
Support monitoring, logging, and CI/CD automation using Azure DevOps.
Technical Stack
Microsoft Fabric (Dataflows, Pipelines, Notebooks, OneLake)
Azure Databricks
SQL Server / SQL Managed Instances
Power BI
SSIS (migration and maintenance)
LangGraph and RAG DB (for advanced data workflows)
Qualifications
Bachelor's degree in computer science, Information Systems, or related field.
23 years of experience in data engineering or related roles.
Proficiency in SQL, Python, Spark.
Familiarity with LangGraph and RAG DB concepts.
Hands-on experience with Microsoft Fabric and Power BI.
Understanding of ETL/ELT pipelines and data warehousing concepts.
Preferred
Knowledge of CI/CD automation with Azure DevOps.
Familiarity with data governance tools (Microsoft Purview, Unity Catalog).
Experience with SSIS package migration and maintenance.
Best Regards,
David Roy | Accounts Manager US Staffing | Charter Global Inc. | https://www.charterglobal.com
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