Responsibilities: -
- Data Engineering & Pipeline Development
- Design, develop, and maintain ETL/ELT pipelines using Python, Spark, and Snowflake.
- Build data ingestion frameworks to collect and process data from multiple source systems.
- Develop scalable and efficient data transformation workflows.
- Create reusable components, utilities, and frameworks for data processing.
- Implement data validation, cleansing, enrichment, and reconciliation processes.
- Troubleshoot and resolve data pipeline performance and operational issues.
- Ensure code quality, maintainability, and adherence to engineering standards. Data Migration & Modernization
- Participate in Enterprise Data Warehouse (EDW) modernization and cloud migration initiatives.
- Analyze source systems, data models, ETL processes, and reporting structures.
Support migration of data from legacy platforms such as: -
Oracle
SQL Server
Teradata
Netezza
Hadoop
Develop source-to-target transformation logic.
Build and maintain ingestion pipelines for loading data into Snowflake.
Perform migration validation and reconciliation activities.
Support deployment and post-implementation stabilization activities. Snowflake Development
Develop and support Snowflake-based data solutions and data marts.
Develop and optimize:
Snowflake Tables.
Views
Streams
Tasks.
Snowpipe.
Stored Procedures.
Support structured and semi-structured data ingestion into Snowflake.
Monitor and improve Snowflake query performance and resource utilization.
Implement data security and access controls as per organizational standards. Python, Spark & Scala Development
Develop distributed data processing applications using Python and Spark.
Build transformation frameworks using PySpark and Scala.
Optimize Spark jobs for scalability and performance.
Implement logging, monitoring, and exception-handling mechanisms.
Participate in code reviews and technical discussions.
Follow secure coding and software development best practices. API Development & Integration
Develop and maintain RESTful APIs and integration services.
Build API-based solutions for data exchange and data consumption.
Implement authentication and authorization mechanisms.
Create API documentation and support API lifecycle management.
Collaborate with other application and integration teams. Healthcare Payer Data Support Work with healthcare payer datasets across: Membership & Enrollment
Member Demographics
Eligibility Data
Enrollment Data Claims Processing
Medical Claims
Professional Claims
Institutional Claims
Claims Adjudication Data Provider Management
Provider Master Data
Network Data
Contract Information Care Management
Case Management
Disease Management
Utilization Management Regulatory Reporting
HEDIS
Risk Adjustment
CMS Reporting
STAR Ratings Pharmacy Data
Pharmacy Claims
Medication Utilization
Clinical Quality Reporting Collaboration & Teamwork
Collaborate closely with Architects, Senior Engineers, Business Analysts, QA teams, and Project Managers. Participate in Agile ceremonies including sprint planning, estimation, daily stand-ups, and retrospectives.
Contribute to technical discussions and solution reviews.
Support peer engineers by sharing knowledge and best practices.
Assist in resolving technical and operational challenges.
Foster a collaborative and team-oriented work environment.
Testing & Production Support
Develop unit test cases and validation scripts.
Support SIT and UAT activities.
Perform data quality checks and reconciliation testing.
Participate in production deployments and release activities.
Troubleshoot production issues and provide timely resolution. Data Governance & Compliance
Adhere to enterprise data governance standards and policies.
Support implementation of data quality and data security controls.
Ensure compliance with:
HIPAA
PHI/PII Data Protection Standards
CMS Guidelines
Organizational Security Policies Required
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