About this role
Job Description We are looking for a highly technical Developer / Data Analyst with strong experience in ETL, Informatica MFT, DBT, Snowflake, SQL, and data analysis . The candidate will work closely with business, data product, ETL, and data science teams to translate business problems into technical and analytical solutions. Location: Cary, NC Interview: Face-to-Face Interview – Local Candidates Only Duration: 6–12+ Months Contract Key Responsibilities Work with business and data product teams to translate business problems into analytical solutions with clearly defined outcomes. Perform in-depth data analysis using SQL, Informatica MFT , and other exploratory tools across platforms such as Big Data, Oracle, SQL Server , and other data environments. Translate business requirements into detailed functional requirements and transformation rules for ETL teams. Develop and support data integrations using Informatica MFT, DBT, and Snowflake . Work closely with ETL and data science teams to review requirements, data integrations, and transformation processes. Understand business and data science requirements and assess their impact on business use cases. Develop validation scripts to validate data loaded by ETL teams and assess data using MFT and DBT . Collaborate with IT and business stakeholders to define and design requirements and formulate technical designs. Gather and document functional requirements based on business domain knowledge. Capture and maintain metadata, data lineage, reference data management, and data quality rules as part of data governance. Perform data profiling, anomaly detection, and quality analysis across various datasets. Develop functional requirements and high-level technical/design documentation. Work with globally distributed teams to drive project delivery and ensure successful implementation. Collaborate with senior IT and business stakeholders to identify, raise, and track defects through project completion. Participate in Agile development processes and follow established SDLC methodologies.