This is a fully remote position, open to applicants in Tennessee.

📋 Description

• Design, architect, develop, and maintain GCP data pipelines for the extraction, loading, and transformation of data.

• Maintain a comprehensive overview of information assets by creating and updating documentation that illustrates how information is stored, processed, and supported.

• Collaborate with the project team to estimate and plan the necessary work efforts.

• Participate in daily team standups.

• Work alongside business analysts and project management to examine business requirements and generate technical design specifications.

• Partner with cross-functional teams to design, develop, and implement robust data solutions that facilitate data-driven decision-making and enhance patient outcomes.

• Lead initiatives in machine learning and data engineering.

⛳️ Requirements

• 5+ years of practical experience as a Data Engineer or Data Architect.

• Demonstrated success in leading technical projects and teams.

• Expert-level proficiency in Google Cloud Platform (GCP) tools, including Google Cloud Storage (GCS), BigQuery, Cloud Composer/Airflow, and Dataproc/Spark.

• Strong skills in data analysis and problem-solving.

• Proficient in a Business Intelligence (BI) tool.

• Advanced SQL skills, including the ability to write, tune, and interpret complex SQL queries.

• Experience in writing and managing Unix/Linux shell scripts.

• Solid understanding of Data Build Tool (DBT).

• Familiarity with CI/CD pipelines.

• Experience in machine learning.

• Proficient in developing Python-based ELT data pipelines.

• Expertise in optimizing GCP BigQuery SQL queries and scripts.