Data Engineer

Senior Data Engineer – Ab Initio / Snowflake We are looking for a Senior Data Engineer with strong experience in Ab Initio and Snowflake to design, develop, and support enterprise-scale data integration and data warehouse solutions. You will work within a large-scale Azure data environment, supporting high-volume ETL/ELT processes, complex data pipelines, metadata management, and cloud modernization initiatives. The role is ideal for a hands-on technical expert comfortable working with complex data ecosystems and hundreds of Ab Initio processes. Responsibilities Design, develop, and support high-volume ETL/ELT data integration solutions using Ab Initio and Snowflake. Develop and maintain Ab Initio graphs, Plans, PSETS, Continuous Flows, and batch processing frameworks. Build reusable ETL components, transformations, DML files, XFRs, and PDL scripts. Manage and support Ab Initio EME / Metadata Hub, including metadata, lineage, impact analysis, and dataset mapping. Develop and optimize Snowflake solutions, including Snowpipe, Streams, Tasks, Time Travel, and Zero-Copy Cloning. Perform advanced SQL development, query optimization, data reconciliation, and data quality validation. Design and maintain data warehouse solutions using dimensional modeling, Star/Snowflake schemas, and Data Vault concepts. Develop automation and operational support tools using Python and Shell scripting (KSH/Bash). Support batch, real-time, file-based, and API-driven data integrations. Participate in CI/CD, Git-based development, code promotion, branching, and release management processes. Troubleshoot production issues and ensure the reliability, scalability, and performance of data pipelines. Collaborate with technical and business teams to translate data requirements into scalable solutions. Work with healthcare data domains, including claims, membership, providers, health plans, benefits, and employer/group data. Qualifications 6+ years of hands-on experience with Ab Initio development. 4+ years of experience with Snowflake development and architecture. Advanced SQL skills, including complex joins, subqueries, stored procedures, dynamic SQL, and query tuning. Strong experience with Ab Initio EME / Metadata Hub, version control, sandbox management, check-in/check-out, and tag promotion. Experience with data warehouse architecture, dimensional modeling, Star/Snowflake schemas, Data Vault, MDM concepts, and source-to-target mapping. Proficiency in Python and Shell scripting (KSH/Bash). Strong understanding of ETL/ELT patterns, batch and real-time processing, API integrations, and large-scale data movement. Experience with DevOps and CI/CD, including Git, branching strategies, automated deployments, and release management. Experience working with Azure-based data environments.Knowledge of healthcare data, particularly: Claims: Professional, institutional, medical, pharmacy, encounter, and adjudication data. Membership: Enrollment, eligibility, coverage, benefits, population health, and member attribution. Provider: Directories, networks, contracting, NPI, attribution, and provider hierarchies. Health Plans: Benefits, products, groups, and employer data. Strong analytical, troubleshooting, and problem-solving skills. Ability to work independently in a complex enterprise data environment and collaborate effectively with cross-functional teams. Metova Talent is interested in every qualified candidate who is eligible to work and reside in the United States. However, we will not consider applicants who are not U.S. citizens, U.S. nationals, lawful permanent residents, asylees, or refugees. Metova Talent is an Aff… #J-18808-Ljbffr