AI Solution Architect

Experience Level: 5 - 8 Years Location: Chennai

About the Role: We are seeking a highly skilled
and experienced Data Engineer to join our team, focusing on building andmaintaining robust data pipelines and infrastructure for our U.S. healthcarepayer operations. You will be responsible for the ingestion, transformation,and availability of large, complex healthcare datasets, enabling our datascientists and ML engineers to develop impactful solutions. This role requiresa strong foundation in data warehousing, ETL/ELT processes, and cloud-baseddata platforms within a highly regulated environment.

Responsibilities:

• Design, develop, and optimize scalable
  data pipelines (ETL/ELT) to ingest, transform, and load diverse healthcare data from various sources into our data warehouse/lake.
• Build and maintain robust data models
  (e.g., star schema, snowflake schema) to support analytics, reporting, and machine learning initiatives.
• Write highly optimized SQL queries and
  Python scripts for data manipulation, cleansing, validation, and transformation.
• Ensure data quality, integrity, and
  reliability across all data pipelines.
• Collaborate with data scientists, ML
  engineers, and business stakeholders to understand data requirements and translate them into efficient data solutions.
• Implement and manage data governance
  policies, security measures, and access controls for sensitive healthcare data (e.g., HIPAA compliance).
• Monitor data pipeline performance,
  troubleshoot issues, and implement solutions for continuous improvement.
• Automate data workflows using
  orchestration tools and integrate with CI/CD pipelines.
• Contribute to the selection, evaluation,
  and implementation of new data technologies and tools.
• Document data pipelines, data models, and
  data flow processes thoroughly.