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Senior Data Engineer

4 days, 11 hours ago
India, Europe
Full-time
Senior
Data Engineer
Software Development
Apache Airflow AWS CI/CD Confluence Dagster dbt Git GitHub Actions JIRA Python Snowflake SQL
Apply Now
Precision Medicine Group

Precision Medicine Group

Precision Medicine Group specializes in precision medicine, utilizing targeted expertise and data insights to accelerate drug development and enhance the commercialization of next-generation medical products for the pharmaceutical and life sciences ind...

Pharmaceuticals
251-1K
Founded 2012
View All Jobs 144

Description

  • Build and maintain Bronze and Silver layer pipelines that land core data sources accurately, on time, and with full lineage.
  • Own end-to-end data ingestion, transformation, and enrichment from raw file landing through cleansed, conformed staging tables.
  • Develop automated ingestion pipelines using Snowpipe, Matillion, or custom solutions with strong reliability and observability.
  • Implement dbt models with clean, tested, documented SQL that supports medallion architecture and incremental processing at scale.
  • Create reusable engineering patterns, templates, macros, and testing frameworks to accelerate onboarding of new data sources.
  • Implement data quality checks, freshness checks, and anomaly detection, and respond to pipeline incidents.
  • Collaborate with the Enterprise Data Architect and stakeholders to translate business requirements into technical specifications and design reviews.
  • Contribute to architecture decisions and ensure pipelines align with enterprise standards and downstream consumer needs.

Requirements

  • Bachelor’s degree in computer science, information systems, engineering, or a related technical field; advanced degree is a plus.
  • 5+ years of professional data engineering experience, including at least 3 years in modern cloud data environments.
  • 2+ years of hands-on experience with Snowflake, including performance tuning, Snowpipe, and Snowflake-specific optimization patterns.
  • 2+ years of production experience with dbt Core or dbt Cloud, including incremental models, testing, documentation, and package management.
  • Demonstrated experience with healthcare data, including familiarity with ICD-10, NPI, NDC codes, and claims data quality challenges.
  • Production experience with orchestration tools such as Airflow, Dagster, or similar, including building reliable DAGs at scale.
  • Strong SQL skills for writing efficient, readable, well-structured queries and debugging complex performance issues.
  • Python proficiency for data processing, scripting, and pipeline automation.
  • Preferred experience with major claims data aggregators such as McKesson, Symphony Health, IQVIA, or Komodo.
  • Preferred familiarity with formulary and payer data, medallion architecture, life sciences or healthcare analytics organizations, data observability tools, managed ingestion tools like Snowpipe, Matillion, or Fivetran, and Git-based CI/CD or infrastructure-as-code workflows.

Benefits

  • Remote-friendly work environment with flexibility for EU-based or India-based candidates.
  • Occasional travel for stakeholder meetings and strategic planning sessions.
  • Opportunity to build foundational data infrastructure rather than maintain legacy systems.
  • Hands-on role with significant autonomy and ownership of outcomes.
  • Work that directly impacts analytics, products, and client deliverables across the organization.

Interested in this position?

Apply directly on the company website

Apply Now

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