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Tech Stack
Tools & technologiesAWSDynamoDBETLJenkinsPythonSparkSQL
About the role
Key responsibilities & impact- Designing, developing, and maintaining backend data pipelines and ETL solutions
- Building scalable and reliable data processing using Python, SQL, and AWS
- Implementing and supporting CI/CD pipelines to automate build, test, and deployment processes
- Collaborating with data engineers, architects, product owners, and business partners to understand requirements
- Writing clean, maintainable, and well-tested code
- Troubleshooting and resolving data, performance, and reliability issues
- Participating in code reviews to provide and receive feedback
Requirements
What you’ll need- Bachelor’s degree in Computer Science or related field, or equivalent practical experience
- 3+ years of experience in software development, with a focus on backend or data engineering
- Proficiency in Python, Spark for backend development and data processing tasks
- Strong SQL skills, including working with large datasets and query optimization
- Hands-on experience with AWS services, ideally including EMR, Lambda, S3 and Dynamodb
- Experience working with CI/CD pipelines and tools that support automated build, test, and deployment
- Solid understanding of software development methodologies and best practices, including version control GitHub and Jenkins automated testing
- Strong problem-solving, debugging, and troubleshooting skills
Benefits
Comp & perks- flexible work environment
- fluid career paths
- purpose, well-being, and work-life balance
- welcoming and inclusive environment
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
PythonSQLAWSSparkETLCI/CDGitHubJenkinsdata processingquery optimization
Soft Skills
problem-solvingdebuggingtroubleshootingcollaborationfeedback
Certifications
Bachelor’s degree in Computer Science
