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Tech Stack
Tools & technologiesDockerETLJenkinsPythonSQL
About the role
Key responsibilities & impact- Design, develop, and maintain scalable ETL/ELT pipelines using Python and SQL.
- Build and optimize data ingestion and transformation frameworks for large datasets
- Develop robust solutions for data processing, validation, and quality assurance
- Implement CI/CD pipelines and DevOps practices for data engineering workflows
- Automate data pipelines, deployment, and monitoring processes
- Work with cross-functional teams to understand business requirements and deliver data solutions
- Troubleshoot and optimize performance of data pipelines and systems
Requirements
What you’ll need- Hands-on experience in Python and SQL
- Experience in data engineering concepts: ETL/ELT, data modeling, data warehousing
- Solid exposure to DevOps tools & practices (CI/CD, Git, Jenkins, Docker, etc.)
- Experience in building production-grade data pipelines
- Strong debugging, problem-solving, and optimization skills
- Bachelor's/Master's in Engineering 2-5 years
Benefits
Comp & perks- For more information on benefits and what we offer please visit us at US Careers and Benefits
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
PythonSQLETLELTdata modelingdata warehousingdata processingdata validationdata quality assuranceperformance optimization
Soft Skills
problem-solvingdebuggingcollaborationcommunication
Certifications
Bachelor's in EngineeringMaster's in Engineering
