The Data Engineer is responsible for designing, building, and maintaining data solutions to provide actionable insights that drive business decisions
Job Summary
The Data Engineer is responsible for designing, building, and maintaining data solutions to provide actionable insights that drive business decisions.
This role involves collaborating with cross-functional teams to design end-to-end data pipelines while ensuring data quality and security across systems.
Candidates must be willing and able to work evening or night shifts as required based on business needs.
Matching Summary
The Data Engineer is responsible for designing, building, and maintaining data solutions to provide actionable insights that drive business decisions.
Skills & Requirements
Must-have
Python or R packages for data analysis
SQL proficiency for data analysis
Experience with large complex datasets
Strong understanding of data governance frameworks
Knowledge of GDPR and CCPA compliance
Nice-to-have
Experience with Apache Spark and Databricks
Familiarity with AWS cloud platforms
Background in Clinical Development domain
SAFe for Teams certification preferred
Experience with SageMaker and ML model training
Key Requirements
Master's or Bachelor's degree in Computer Science or related field