Data Engineer for Client Data Hubs

4 weeks ago


Pune, Maharashtra, India Global Pharma Tek Full time

As a key member of our team at Global Pharma Tek, you will be responsible for developing and managing our client data hubs, including data intake, quality assessment, curation, and enrichment processes. These data hubs consist of various health-related data sources supporting Decision Point services, including our AI/Client platform, analytics platform, and OPUS application suite. Our ideal candidate should have expertise in data integration (ETL/ELT) processes, database design, and data manipulation methodologies, as well as a keen understanding of EDW, master data management, and other database design principles. If you are passionate about learning and have a strong data profiling and analytic skills, we encourage you to read on for more information.

The Position
  • Develop and apply scalable data integration (ETL/ELT) processes, including ingestion, cleansing, curation, unification, etc.
  • Support various components of the data pipelines, including ingestion, validation, cleansing, and curation
  • Manage and ensure the success of ongoing data pipeline routines
  • Collaborate with our implementation team to assist with the identification and reconciliation of data anomalies
  • Create and maintain documentation on data pipelines
  • Engage with our software engineering team to ensure precise data points per application specifications
  • Provide periodic support to our customer success team
Skills & Experience
  • Bachelor's or Master's degree in Computer Science, Engineering, or applicable experience
  • Years of experience with expertise in SQL, database design, and data manipulation methodologies
  • Expertise in ETL/ELT and the development of automated validation and data pipelines
  • Strong data profiling and analytic skills; ability to identify and solve complex problems
  • Keen understanding of EDW, master data management, and other database design principles
  • Comfortable working with high-volume data in a variety of formats
  • Excellent verbal and written communication
  • Self-motivated
  • Passionate about learning
  • Familiarity with healthcare data is a plus
  • Experience with CI/CD and version control tools is a plus
  • Experience working within a hybrid cloud environment such as AWS is a plus

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