Senior Data Engineer

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P
Precision AQLife Sciences Healthcare
This is a remote-friendly role with flexibility for EU-based or India-based candidates.Full-TimeSenior
Salary not disclosed
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Job Details

Experience
5+ years of professional data engineering experience
Required Skills
PythonSQLSnowflakeAirflowdbt

Requirements

  • 5+ years professional data engineering experience.
  • 3+ years working in modern cloud data environments.
  • 2+ years hands-on experience with Snowflake.
  • 2+ years working with dbt in production environments.
  • Demonstrated experience with healthcare data (ICD-10, NPI, NDC codes).
  • Production experience with orchestration tools (e.g., Airflow, Dagster).
  • Strong proficiency in SQL and Python.
  • Bachelor’s degree in CS, Information Systems, or Engineering.

Responsibilities

  • Build and maintain Bronze/Silver layer pipelines ensuring accuracy and lineage.
  • Lead end-to-end data ingestion, transformation, and enrichment including deduplication and standardization.
  • Develop automated ingestion pipelines using Snowpipe, Matillion, or custom solutions.
  • Implement dbt models using medallion architecture and incremental processing.
  • Establish reusable engineering templates, macros, and testing frameworks.
  • Ensure data quality via dbt tests, freshness checks, and anomaly detection.
  • Collaborate with architects to translate requirements into technical specifications.
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