Hands-on experience with databricks and apache spark
Proficiency in python/r packages for data analysis
Strong sql skills and data visualization tools
The Sr. Data Engineer is responsible for designing, building, and maintaining data solutions to provide actionable insights that drive business decisions
Job Summary
The Sr. 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 using AWS and ensuring data quality through robust ETL processes.
Candidates must be willing to work later shifts, including evening or night schedules, as required by business needs.
Matching Summary
The Sr. Data Engineer is responsible for designing, building, and maintaining data solutions to provide actionable insights that drive business decisions.
Skills & Requirements
Must-have
Hands-on experience with Databricks and Apache Spark
Proficiency in Python/R packages for data analysis
Strong SQL skills and data visualization tools
Experience with workflow orchestration and performance tuning
Knowledge of data governance frameworks and compliance
Nice-to-have
Experience with Clinical Development domain
Machine Learning model training experience
SageMaker and cloud data platform knowledge
SAFe for Teams certification
Ability to work evening or night shifts
Key Requirements
Master's or Bachelor's degree in Computer Science or related field
9-12 years of experience in IT or Computer Science
Preferred certifications in Data Engineering or Machine Learning on Databricks/Cloud