Senior Data Engineer

10 hours ago

Noida, Uttar Pradesh, India Vserv Careers Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Profile - Senior Data Engineer

Exp- 4+ Years

Location - Noida

Work Mode - Hybrid

Skills - Data Engineering , Team Lead , Snowflake , AWS/Azure , Databricks , DBT , Data Warehousing

for applying you can share your CV on

Key Responsibilities

  • Develop and execute data strategy, focusing on public healthcare datasets such as Medicare, Medicaid, and other federal and state-level data sources.
  • Design and maintain robust data pipelines and ETL processes to enable efficient data ingestion, transformation, and storage.
  • Build scalable data models that integrate public and proprietary datasets to generate actionable insights for clients.
  • Collaborate with internal teams, including analytics, market access, and consulting practices, to identify and address data needs.
  • Ensure data quality and accuracy through the implementation of rigorous QC processes and governance frameworks.
  • Support analytic projects by delivering clean, structured, and well-documented data to support client-driven business questions.
  • Stay ahead of industry trends, emerging technologies, and regulatory requirements to enhance data capabilities.

Required Skills and Experience

Education:

  • Bachelor's degree in computer science, data engineering, or a related quantitative discipline. Advanced degree preferred.

Technical Expertise:

  • Strong proficiency in Snowflake and associated technologies
  • Proficiency in healthcare data architecture, with expertise in working with public datasets such as CMS data, including Medicare FFS claims, Part D PDE data, and Medicare Advantage encounter data.
  • Hands-on experience with programming languages such as Python, SQL, or SAS for data manipulation and analysis.
  • Experience integrating secondary data sources, including survey data, geographic and social determinants of health data, and drug or formulary databases.
  • Proficiency in building and optimizing ETL pipelines and data workflows in cloud environments (e.g., AWS, Azure).
  • Strong knowledge of data modeling, warehousing, and governance principles.

Professional Experience:

  • At least 4 years of experience in data engineering, preferably in a healthcare, consulting, or analytics-focused environment.
  • Proven experience working with public healthcare datasets and leveraging them to inform business strategy.
  • Experience working with Data Scientists in the healthcare space
  • Demonstrated ability to structure and document comprehensive data workflows and processes.

Regards

Yogendra Joshi

Senior HR

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