A leading biotechnology company seeks a remote Data Engineer to design and build scalable data solutions. The candidate will be responsible for creating ETL pipelines, optimizing data architectures, and ensuring data quality. Ideal applicants should have strong experience in data engineering, proficiency in programming, particularly in Python and SQL, and familiarity with cloud platforms like GCP. This role presents a unique opportunity to work in a pioneering environment focused on age-related research.
Qualifications
Strong experience in data engineering and cloud platforms, preferably GCP.
Proficiency in Python, SQL, and shell scripting.
Background in biological or scientific data is a plus.
Responsibilities
Design, build, and maintain ETL/ELT pipelines efficiently.
Develop scalable data architectures in the cloud.
Implement data quality checks and automate testing frameworks.
Skills
Data engineering
Cloud platforms (GCP)
Python
SQL
Shell scripting
API development
Problem-solving
Communication skills
Tools
DataHub
Apache Atlas
Dagster
Airflow
Job description
A leading biotechnology company seeks a remote Data Engineer to design and build scalable data solutions. The candidate will be responsible for creating ETL pipelines, optimizing data architectures, and ensuring data quality. Ideal applicants should have strong experience in data engineering, proficiency in programming, particularly in Python and SQL, and familiarity with cloud platforms like GCP. This role presents a unique opportunity to work in a pioneering environment focused on age-related research.