Lead Data Engineer
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Job Description
Senior Data Engineer building GCP data pipelines for Egen’s healthcare data innovation. Driving machine learning initiatives and data solutions that improve patient outcomes.
Responsibilities:
- Design, architect, develop, and support GCP data pipelines to extract, load, and transform data
- Maintain a holistic view of information assets by creating and maintaining documentation showing how information is stored, processed, and supported
- Work with the project team to estimate and plan the work effort
- Attend daily team standups
- Work with business analysts and project management to review business requirements and produce technical design specifications
- Collaborate with cross-functional teams to design, develop, and deploy robust data solutions for data-driven decision-making and improved patient outcomes
- Drive ML and data engineering initiatives
Requirements:
- 5+ years of hands-on experience as a Data Engineer or Data Architect
- Proven track record leading technical projects and teams
- Expert proficiency in Google Cloud Platform (GCP) tools, including Google Cloud Storage (GCS), BigQuery, Cloud Composer/Airflow, and Dataproc/Spark
- Strong data analysis and problem-solving skills
- Proficiency in a Business Intelligence (BI) tool
- Advanced SQL skills, including writing, tuning, and interpreting complex SQL queries
- Experience writing and maintaining Unix/Linux shell scripts
- Solid understanding of Data Build Tool (DBT)
- Experience with CI/CD pipelines
- Machine Learning experience
- Proficiency in developing Python-based ELT data pipelines
- Expertise in optimizing GCP BigQuery SQL queries and scripts
Benefits:
- Competitive salary
- Health insurance
- Retirement plans
- Professional development opportunities
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