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 and automation.

Hands-on experience building and supporting ETL/data pipelines in AWS environments.

Practical working knowledge of AWS Glue (ETL jobs, crawlers, catalog).

Practical working knowledge of AWS Lambda (serverless processing).

Experience with both development and production support, including monitoring, troubleshooting, and optimizing pipelines.

Good to Have

Experience with Tableau (dashboards, data models).

Exposure to LLM/GenAI technologies for data enrichment or automation.

Key Responsibilities

Develop, maintain, and optimize ETL data pipelines using AWS native services.

Write efficient Python scripts and complex SQL queries for data processing.

Monitor and support production pipelines; resolve incidents and performance issues.

Collaborate with data analysts, business teams, and cloud engineers to ensure data availability and quality.

Implement best practices for data security, performance, and cost optimization in AWS.

Contribute to documentation, process improvements, and automation initiatives.

Data Engineer