Job Title: AWS Data Engineer

Experience: 5+ Years
Location: Gurgaon (Hybrid)
Notice Period: Immediate to 15 Days

Job Description

We are seeking an experienced AWS Data Engineer with 5+ years of expertise in designing, developing, and optimizing scalable cloud-based data pipelines. The ideal candidate should have robust hands-on experience with Python, PySpark, AWS Glue, Lambda, ETL, SQL, Data Warehousing, and up-to-date DevOps/DataOps practices including CI/CD, Kubernetes, Terraform, along with exposure to Generative AI.

Required Skills
Strong programming skills in Python and PySpark
Hands-on experience with AWS Glue, AWS Lambda, S3, IAM, CloudWatch, and related AWS services
Solid knowledge of ETL/ELT pipeline development and data integration
Expertise in SQL and Data Warehousing concepts (Star Schema, Snowflake Schema, SCD, Fact & Dimension tables)
Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, or AWS CodePipeline)
Hands-on experience with Terraform for Infrastructure as Code (IaC)




Good understanding of Kubernetes and containerized data workloads
Experience in performance tuning, monitoring, and troubleshooting distributed data pipelines
Exposure to Generative AI, LLMs, RAG, Vector Databases, or Amazon Bedrock is preferred
Familiarity with Agile methodologies, Git, and version control

Responsibilities
Design, build, and maintain scalable AWS data pipelines.
Develop ETL workflows using Python, PySpark, AWS Glue, and Lambda.
Build and optimize data warehouse solutions and SQL queries.
Implement CI/CD pipelines and automate infrastructure using Terraform.
Monitor, troubleshoot, and optimize production data pipelines.
Collaborate with cross-functional teams to deliver reliable and high-quality data solutions.
Contribute to GenAI-enabled data applications and intelligent data platforms.

📌 Aws Data Engineer Immediate Gurgaon Uttar Pradesh
🏢 Kezan consulting
📍 Uttar Pradesh