Contribute to architecture and implement robust data pipelines to ingest, aggregate, and index diverse data sources into the organization’s data lake
Drive the creation of a secure, compliant, and privacy-focused data warehousing solution tailored to meet the healthcare industry’s stringent requirements
Partner with the data analytics team to deliver a data platform that supports accurate, actionable reporting on key business metrics
Collaborate with the data science and machine learning teams to build tools and capabilities that foster rapid experimentation and innovation
Support peers and champion a culture that values data as a strategic asset across the organization

Requirements

4+ years of proven success designing and implementing large-scale data systems
Strong understanding of core python, its tooling (pip, poetry, popular frameworks like pytest or pydantic)
Strong pyspark experience (dataframe API) and understanding of internal architecture and optimization techniques
Existing experience with Databricks is preferred or experience with Redshift and/or Snowflake
Demonstrated expertise in architectural patterns for building high-volume ETL pipelines
Experience with data modelling, Medallion architecture, pipeline design, metrics calculation and technical documentation
Exceptional oral and written communication abilities, facilitating effective cross-functional collaboration
BA/BS degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data pipelinesdata warehousingpythonpysparkDatabricksRedshiftSnowflakeETL pipelinesdata modellingMedallion architecture

Soft Skills

communicationcollaborationleadership