Data Engineer
Primary Skill : Talend, Snowflake, Healthcare Medicare
Skill Cluster : Data-Other DWH Database with Data Modeling, ETL.
Exp: 12+
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Job Description :
Job Requirements Experience Level: 12+ Years; Industry Focus: Healthcare Position Overview: A seasoned Tech lead to lead a high-stakes Healthcare Data Reconciliation project. In this role, the resource must bridge the gap between complex hands-on engineering and high-level enterprise architecture. Resource will be responsible for architecting robust data pipelines and reconciliation frameworks that handle sensitive PII and PHI while ensuring 100% compliance with HIPAA .A technical leader capable of managing large-scale migrations—such as moving legacy infrastructure to AWS Key Responsibilities Architectural Leadership: Design and oversee end-to-end scalable data architectures on AWS and ETL specifically for healthcare enrolment, eligibility, and claims reconciliation. Data Reconciliation & Integrity: Engineer high-precision automated pipelines to reconcile disparate datasets, ensuring 100% data integrity and audit excellence. Compliance & Security: Serve as the Compliance Guardian for the project, implementing advanced data masking, tokenization, and encryption-at-rest strategies for PII/PHI. Modernization & Migration: Lead technical migrations of legacy ETL workloads, evolving systems from platforms like Talend 7.3 to modern environments like Talend v8.0.Release Orchestration: Manage the full release lifecycle for high-concurrency platforms, coordinating environment management and resource capacity planning. Operational Excellence: Direct cross-functional teams across parallel workstreams using Agile/DevOps frameworks to ensure 99% on-time delivery. Required Technical Skills Data Engineering: Expert-level proficiency in Talend (v7.3/8.0)Cloud Platforms: Extensive experience with AWS Cloud services and Snowflake. Programming: Complex SQL, Java scripting (preferable).Database Management: Skilled in managing diverse environments including Oracle, Teradata, PostgreSQL, and MongoDB. Visualization: Ability to architect semantic layers and Row-Level Security (RLS) in Power BI or MicroStrategy. DevOps: Proficient in CI/CD pipelines, GitHub, and enterprise orchestrators like Control-M , TAC/TMC. Qualifications: B. Tech degree or equivalent technical background.12+ years of experience in Data Architecture and Delivery Leadership. Proven track record in Healthcare (Medicare/Medicaid/Marketplace) data architectures
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Neha Chaudhary
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