GCP Data Engineer

TechDigital Corporation
St. Louis, MO, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) Airflow Data Analysis BigQuery Health Informatics Cloud Storage Information Systems Computer Programming Information Engineering Data Governance Extract Transform Load (ETL) Data Warehousing
+10 more
Data Flow Control Python (Programming Language) Metadata Performance Tuning Cloudera Shell Script SQL Databases Google Cloud Information Technology Data Pipelines

Job description

We are seeking a highly skilled Senior GCP Data Engineer to design, develop, and support scalable healthcare analytics solutions on Google Cloud Platform (GCP). The candidate will work closely with Data Analysts, Data Architects, and Business SMEs to support the implementation of the IBM Unified Data Model for Healthcare (UDMH), create robust data pipelines, and enable semantic-layer-driven reporting and analytics for Revenue Cycle Management (RCM) data., * Successfully delivers scalable and reliable GCP data pipelines.

  • Enables accurate and efficient source-to-UDMH transformations.
  • Supports semantic layer development for business reporting and analytics.
  • Ensures high data quality, performance, and operational reliability.
  • Partners effectively with architects, analysts, and business stakeholders to deliver healthcare analytics solutions.

https://job.goodword.io/JobLanding/JobId=087b0dce-4f0b-4131-8736-3873c352bbde?trafficsourceid=0 external

Requirements

The ideal candidate should have extensive experience with BigQuery, Dataform, Dataflow, Dataproc, Airflow, Python, Java, and SQL, and possess a strong understanding of data warehousing, semantic layer concepts, and healthcare data processing., * Bachelor’s degree in computer science, Information Systems, Engineering, or related field.

  • 7 years of experience in Data Engineering and Data Warehousing.
  • 4 years of hands-on experience with Google Cloud Platform (GCP).
  • Strong experience with: o Big Query, Data form, Dataflow, Dataproc, Cloud Storage, Cloud Composer (Airflow)

Programming

  • Python, Java, SQL, Shell Scripting Data Engineering

  • ETL/ELT Development, Data Warehousing, Data Modeling, Data Quality Frameworks, Metadata-Driven Pipeline, Performance Optimization

Domain Knowledge

  • Healthcare Analytics
  • Revenue Cycle Management (RCM)
  • IBM UDMH
  • Clinical and Financial Data Structures

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