Data Engineer

Job Title: Data Engineer Location: Georgia (Hybrid Onsite) Position Type: Contract Experience Required: 2–3 Years Position Overview We are seeking a motivated Data Engineer to support the modernization and transformation of our data estate. The ideal candidate will assist in developing scalable data pipelines, migrating legacy systems, and implementing modern data solutions using Microsoft Fabric, Azure, and related tools. This role offers the opportunity to work with cutting-edge cloud technologies and contribute to building a secure, efficient, and future-ready data environment. Key Responsibilities • Assist in designing, developing, and maintaining ETL/ELT data pipelines using Microsoft Fabric and Azure Databricks • Support the migration and maintenance of SSIS packages from legacy systems to modern platforms • Implement Medallion Architecture (Bronze, Silver, Gold) to enhance data quality, governance, and lifecycle management • Develop and manage notebooks (Fabric Notebooks, Databricks) for data transformation using Python, SQL, and Spark • Build curated datasets to support Power BI reporting and analytics • Collaborate with data analysts, BI developers, and business stakeholders to deliver fit-for-purpose data products • Apply data governance best practices leveraging Microsoft Purview or Unity Catalog • Assist with monitoring, logging, and CI/CD automation using Azure DevOps Technical Skills & Tools • Microsoft Fabric (Dataflows, Pipelines, Notebooks, OneLake) • Azure Databricks • SQL Server / SQL Managed Instances • Power BI • SSIS (for migration and ongoing maintenance) • LangGraph & RAG DB (for advanced data workflows) Qualifications Required: • Bachelor’s degree in Computer Science, Information Systems, or a related field • 2–3 years of hands-on experience in data engineering or a related technical role • Strong proficiency in SQL, Python, and Spark • Working knowledge of LangGraph and RAG DB concepts • Experience with Microsoft Fabric and Power BI • Understanding of ETL/ELT pipelines and data warehousing fundamentals Preferred: • Exposure to CI/CD automation using Azure DevOps • Familiarity with data governance tools (Microsoft Purview, Unity Catalog) • Experience in migrating and maintaining SSIS packages