Full-Stack Data Engineer
Core
Design, build, and support scalable data pipelines, data products, and data applications serving business and analytics needs using modern software engineering practices.
Role type
Full-Stack Data Engineer (hands-on IC)
Builds
Scalable data pipelines, data products, and data applications
Domain
Cloud Data Engineering / Analytics
Deliverable
production ML models | product features (via careerplan.io/jobs/R-257213-full-stack-data-engineer-at-astrazeneca)
Required skills
Python, SQL, Snowflake, dbt, Airflow, CI/CD, DevOps/DataOps, Data Modeling, AWS (Lambda, Glue), Testing & Quality Assurance
Preferred skills
Starburst/Trino, Terraform, Infrastructure as Code, PySpark, Metadata/Catalog Tooling (Collibra)
Technologies
Snowflake, dbt, Airflow, dataops.live, Fivetran, AWS Glue, AWS Lambda, Starburst/Trino, Terraform, GitHub Actions, PySpark, Collibra
Responsibilities
Design and implement data solutions aligned with enterprise standards; Develop Python-based solutions for data processing and automation; Own and improve DevOps/DataOps practices including CI/CD and observability; Test and quality assure data solutions; Evaluate and adopt new technologies; Collaborate with stakeholders to translate business requirements into technical solutions.
Seniority
Mid-Senior, hands-on IC
