Overview
Skills
Job Details
| Position Details | Requirement | |
| Creq | TBD | |
| No of Positions | 1 | |
| Role | Senior Data Engineer Healthcare Domain Client C2H | |
| Location | NYC, NY (Remote) | |
| Type of Hire - Contract/ C2H | Rate (Max) | W2 OR 1099 |
| Duration | Long-Term | |
| Number of Interviews | L1+HR+Client | |
| In person interviews Yes/No | No | |
| Client Interview Yes/No | Yes | |
| No of submission (example not more than 3 resumes) | 3 submissions | |
| Timeline for submission | 2 hours | |
| Position requirements (Remote/ Hybrid/Fully onsite) | Remote | |
| Job Description | Senior Data Engineer Position Summary The Senior Data Engineer designs and leads scalable data architectures and pipelines to support analytics and business intelligence. This role focuses on data optimization, workflow automation, and ensuring reliable data operations in a cloud-based environment. Present client should be healthcare , so that we can get interview asap Minimum Qualifications 8+ years of IT experience, with 5+ years in: Python, PySpark, and SQL for big data processing Data lakes (Iceberg format), ETL (Informatica), and data quality AWS services: S3, Glue, Redshift, Lambda, EMR, Airflow, Postgres BASH/Shell scripting Experience with healthcare data and leading data teams Agile development experience Strong problem-solving and communication skills Responsibilities Design and maintain scalable data pipelines and architectures Lead data projects and ensure best practices Collaborate across teams to meet data needs Optimize data systems for analytics and reporting Ensure data quality and system reliability in production environments
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