Description

Key Responsibilitie

 Data Pipeline Development & Engineerin

•  Design, develop, and maintain enterprise ETL pipelines using Azure Data Factory (ADF), Informatica PowerCenter, and Python-based frameworks
•  Build and optimize scalable data processing solutions using Python, Apache Spark, and Databricks
•  Develop and optimize SQL queries, stored procedures, and database objects across platforms such as Snowflake, Oracle, and SQL Server
•  Apply data engineering best practices to ensure performance, scalability, reliability, reusability, and security

 Analytics, Reporting & Data Qualit

•  Support healthcare analytics and regulatory reporting initiatives
•  Develop robust data validation, reconciliation, and audit-ready data pipelines
•  Partner with analysts, QA teams, and reporting stakeholders to ensure data quality, accuracy, and timeliness
•  Implement controls and monitoring processes to maintain trusted and compliant data assets

.Modernization, Operations & Collaboratio

•  Participate in cloud migration and modernization initiatives leveraging Azure-based data architectures
•  Support production operations, incident management, troubleshooting, and root cause analysis
•  Contribute to code reviews, source control management, and CI/CD processes using Azure DevOps and GitHub
•  Collaborate across cross-functional teams to deliver scalable and maintainable data solutions

.
Required Qualificatio

•  5+ years of experience in data engineering with a focus on enterprise data warehousin
•  5+ years of hands-on ETL development experience using Informatica PowerCenter, Teradata, Azure Data Factory, or similar technologie
•  5+ years of experience developing solutions in Python for data engineering and automatio
•  5+ years of experience working with Teradata, including Teradata loading and utility tool
•  3+ years of experience with Spark-based processing frameworks such as Databrick
•  Strong SQL expertise and experience working with relational databases, including Snowflake, Oracle, and SQL Serve
•  3+ years of experience with Snowflake, including SnowSQL and Snowpark (Python
•  Experience with source control and DevOps practices using Azure DevOps, GitHub, and CI/CD pipeline
•  Strong analytical, problem-solving, and troubleshooting skill
•  Ability to work effectively in a fast-paced, collaborative environmen
•  Willingness to travel periodically as require

d. Preferred Qualificati

•  Bachelor's degree or higher in Computer Science, Engineering, Analytics, or a related fie
•  Azure certifications related to Data Engineering or Analyti
•  Experience supporting Enterprise Data Warehouse (EDW) environmen
•  Healthcare, payer, public sector, or regulated-industry analytics experien
•  Data modeling experience in enterprise data warehouse environmen
•  Automation and orchestration scripting using PowerShell or Ba
•  Experience designing, integrating, or consuming REST APIs within data platfor
•  Familiarity with data quality frameworks, reconciliation processes, and audit support requiremen

Key Skills

Education

Bachelor’s degree