| Data/ETL Engineer || Must Pharma or Healthcare Domain EXP|| only GC or USC || at Remote, Remote, USA |
| Email: [email protected] |
| Hi, Hope you are doing well. Please let me know if you are available in the job market. Title: Data/ETL Engineer (Pharmacy Claims Data focused) Client: Yellow Labs Duration: 912-month contract Location: REMOTE (Must live in the U.S.) Visa : GC or USC Look for people out of the following: Aetna/CVS Caremark: Cigna/Cigna's Evernorth/Express Scripts UnitedHealth's OptumRx Humana Pharmacy Solutions Prime Therapeutics/Magellan Rx MedImpact Healthcare Systems Centenes PBM is Cignas Evernorth/Express Scripts We are seeking a talented and experienced Data Engineer with expertise in AWS Glue, Python, and a deep understanding of pharmacy claims data integration into a Data Warehouse (DWH) environment. Position Overview: We are looking for a skilled Data Engineer who will play a key role in designing, developing, and implementing robust data pipelines for integrating pharmacy claims data from disparate systems into our Data Warehouse. The ideal candidate will have extensive experience with AWS Glue, Python programming, and a strong background in handling healthcare data, particularly pharmacy claims. The successful candidate will be responsible for ensuring the reliability, scalability, and efficiency of our data infrastructure while adhering to industry best practices and security standards. Qualifications: Bachelors degree in computer science, Engineering, or related field; masters degree preferred. Proven experience (8+ years) as a Data Engineer with a focus on AWS Glue, Python programming, and healthcare data integration. Strong understanding of pharmacy claims data formats, standards (e.g., NCPDP), and industry regulations (e.g., HIPAA). Hands-on experience with AWS services such as Redshift, S3, IAM, CloudWatch, and Lambda. Proficiency in infrastructure as code (IaC) tools like AWS CDK and Terraform. Familiarity with Data Vault methodology and dimensional modeling concepts. Excellent problem-solving skills and ability to troubleshoot complex data issues. Strong communication skills with the ability to collaborate effectively with cross-functional teams. AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Developer) are a plus. Key Responsibilities: Design, develop, and maintain scalable data pipelines using AWS Glue for extracting, transforming, and loading (ETL) pharmacy claims data from various sources into our Data Warehouse. Collaborate with cross-functional teams to understand data requirements, business logic, and data quality standards related to pharmacy claims data. Implement data transformation and enrichment processes to standardize and cleanse pharmacy claims data, ensuring accuracy and consistency. Work closely with Data Architects to design and optimize data models within the Data Warehouse (e.g., Redshift) to support efficient data storage and retrieval. Utilize Python programming skills to customize ETL scripts, automate data processes, and implement data validation checks. Implement and manage infrastructure as code (IaC) using AWS Cloud Development Kit (CDK) and Terraform to provision and configure AWS resources for data processing and storage. Collaborate with DevOps and Security teams to ensure data privacy, compliance, and governance standards are met throughout the data lifecycle. Monitor, troubleshoot, and optimize data pipelines for performance, scalability, and reliability. Document technical specifications, data lineage, and system configurations to support knowledge sharing and maintainability. Stay current with emerging technologies, best practices, and industry trends in data engineering and healthcare informatics. Regards, Akash Srivastava Technical Recruiter 1 Point System LLC [email protected] D : 803-962-0202 115 Stone Village Drive Suite C Fort Mill, SC 29708 https://www.linkedin.com/in/aakash-shrivastav-68b203189/ -- Keywords: sthree information technology green card Alaska South Carolina Data/ETL Engineer || Must Pharma or Healthcare Domain EXP|| only GC or USC || [email protected] |
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| Mon Apr 01 21:51:00 UTC 2024 |