Job Title: Data Engineer / Data Analyst (ETL Modernization) Location: Charlotte, NC (CIC) - Hybrid Duration: 12 months (with possible extension) Mission: This role will support the team’s ETL modernization and cloud migration efforts, helping transition from a legacy Ab Initio environment to a modern big data platform using Spark. Day-to-Day Responsibilities: • Support ETL development and maintenance in the current Ab Initio environment • Work on projects focused on modernizing legacy ETL pipelines to Spark-based solutions • Handle large volumes of structured and semi-structured data • Collaborate on data migration efforts from on-prem environments to cloud-based platforms • Optimize data processing for performance and scalability • Engage in Agile SDLC processes, tracking progress and deliverables across velocity and matrix stages • Contribute to batch-to-streaming architecture transformation projects Must-Have Qualifications: • 5-7 years of experience as a Data Engineer or Data Analyst • Hands-on development experience with Ab Initio • Strong understanding of data modeling, data warehousing, and performance optimization • Familiarity with the Software Development Lifecycle (SDLC) - should understand concepts like velocity, churn, and matrix stages • Experience with Apache Spark, preferably on migration or modernization projects • Exposure to cloud platforms such as AWS, GCP, or Azure (strong plus) Nice-to-Have Skills: • Experience with cloud-native data engineering tools • Familiarity with streaming data architectures • Prior involvement in large-scale data platform migration projects