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Job Description & How to Apply Below
Permanent
Role:
Data Engineer
Experience:
5 - 6 Years
Work Location:
Gurugram
Shift Timing – 3PM – 12AM (Work from office)
Notice Period:
Immediate to 15 days
Must-Have Skills
• Strong proficiency in SQL and Python for data transformation, automation, and
processing
• Hands-on experience building and maintaining ETL/data pipelines on AWS
• Practical knowledge of AWS Glue (ETL jobs, crawlers, catalog)
• Working knowledge of AWS Lambda (serverless compute)
• Experience supporting production pipelines and troubleshooting performance issues
Good to Have
• Experience with Tableau (reports, dashboards, data models)
• Exposure to LLM/GenAI technologies for automation or enrichment
• Experience with AWS cost optimization or monitoring tools
Key Responsibilities
• Develop and optimize ETL pipelines using AWS native services
• Write Python scripts and complex SQL queries for data workflows
• Monitor and troubleshoot live data pipelines and resolve production issues
• Collaborate with analysts, cloud engineers, and business teams for data accuracy
• Implement best practices for data security, performance, and AWS cost efficiency
• Contribute to documentation, automation, and process improvements
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