DataFlux Engineer

Job Title:: DataFlux Engineer Location : NYC, NY (Hybrid) Our client is migrating their enterprise data quality and Master Data Management workloads from SAS DataFluxto the Databricks Lakehouse Platform. We are seeking a Senior Onshore DataFlux Engineer to serve as the hands-on technical lead responsible for decomposing legacy Key Responsibilities Inventory profile and document existing DataFlux assets Architect jobs Profile jobs data services business rules custom QKB definitions and DMS deployments Decompose DataFlux job flows node by node and re implement equivalent logic on Databricks using PySpark Spark SQL and Delta Live Tables Implement MDM golden record logic hierarchy management cross reference tables and survivorship ruleson the lakehouse for client priority domains Customer Product Location Reference DataMentor junior and offshore engineers conduct code reviews and pair programming sessions to transfer DataFlux knowledge Required Qualifications DataFlux Expertise Non Negotiable7 years of data engineering experience with a minimum of 4 years of hands on build focused experience inSAS DataFlux dfPower Studio and or Data Management Studio Demonstrated production experience authoring DataFlux Architect jobs Profile jobs real time data services ,and DMS deployments Databricks & Spark Engineering • Strong PySpark and Spark SQL skills; comfortable writing, debugging, and tuning large-scale transformations. • Experience implementing the medallion architecture, SCD Type 2, CDC patterns, and incrementa lprocessing. MDM & Data Domains • Hands-on engineering experience implementing or extending MDM solutions across multiple domains(Customer/Party, Product, Location, Reference Data) . • Strong understanding of data modeling (3NF, dimensional, Data Vault) and the trade-offs between them on alakehouse. • Proficient in Python, SQL, and Git-based development workflows. • Experience with CI/CD for Databricks (Asset Bundles, Terraform, Azure DevOps, or GitHub Actions). • Prior involvement in a DataFlux retirement, migration, or modernization initiative. • Databricks Certified Data Engineer Associate or Professional. Thanks, and Regards Anil Kumar | Technical Recruiter Email: anil.k@ampstek.com Desk: 6095361083