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Tech Stack
Tools & technologiesAWSPySparkSQL
About the role
Key responsibilities & impact- Develop and maintain scalable data pipelines using PySpark on AWS Glue and EMR, ensuring high performance and data quality.
- Orchestrate complex data processing and integration workflows using AWS Step Functions.
- Perform robust analyses and validations using SQL and AWS Athena, ensuring data integrity and reliability.
- Collaborate with multidisciplinary teams to identify data needs and propose technical solutions aligned with business requirements.
- Investigate failures and propose and implement continuous improvements to data architecture and data processes.
- Document solutions, data flows, and best practices to promote technical alignment across teams.
Requirements
What you’ll need- Strong expertise in developing pipelines using PySpark on AWS Glue.
- Proficiency with AWS Step Functions for orchestrating pipelines and scheduling processes.
- Solid SQL knowledge for advanced queries and validations on large volumes of data.
- Experience using AWS Athena for data exploration, analysis, and auditing.
- Ability to monitor data quality and troubleshoot complex issues in critical environments.
Benefits
Comp & perks- We value the continuous growth of Zuppers, encouraging each person to pursue paths that drive their 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
PySparkAWS GlueAWS Step FunctionsSQLAWS Athena
Soft Skills
collaborationproblem-solvingcommunication