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Tech Stack
Tools & technologiesAWSPySparkPythonSQL
About the role
Key responsibilities & impact- Design, develop and implement data validation pipelines and model evaluation workflows in an AWS environment.
- Integrate data, metrics and results into automated, auditable and scalable workflows.
- Modularize pipelines with a focus on reuse, maintainability, testing and continuous evolution.
- Collaborate with Data Science, Data Engineering and Product teams.
- Ensure best practices for version control, code quality, logging, monitoring and automated testing.
- Identify opportunities to improve data architecture and validation processes.
- Develop solutions focused on performance, reliability and data governance.
Requirements
What you’ll need- Bachelor's degree in Engineering, Statistics, Mathematics, Computer Science or related fields.
- Solid experience in Data Science.
- Experience with data manipulation and statistical modeling.
- Proficiency in Python, SQL and PySpark.
- Experience with Git and version control.
- Excellent analytical skills and the ability to solve complex problems.
- Strong communication skills and experience working in multidisciplinary teams.
Benefits
Comp & perks- Collaborative environment
- Focus on cutting-edge technology
- Continuous professional development
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data ValidationStatistical ModelingData ManipulationPythonSQLPySparkVersion ControlAutomated TestingData Architecture ImprovementPerformance Optimization
Soft Skills
Analytical SkillsProblem SolvingCommunication SkillsCollaboration
