Position: 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

Data Engineer