Location: Gurgaon

Experience: 4+ Years

Notice Period: Immediate Joiners

Job Summary

We are looking for an experienced AWS Data Engineer with solid expertise in AWS data services, Snowflake, Python, SQL, and ETL development to build and maintain scalable data pipelines.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines on AWS.

- Build ETL/ELT workflows using AWS Glue and other AWS services.

- Develop and optimize data warehouses using Snowflake.

- Work on data ingestion, transformation, and processing.

- Write complex SQL queries and optimize Snowflake performance.

- Implement data integration between AWS services and Snowflake.

- Ensure data quality, performance, and reliability.

Required Skills (Must Have)

- 4+ years of experience in Data Engineering.





- Strong hands-on experience with AWS (S3, Glue, Lambda, Redshift).

- Strong expertise in Snowflake architecture and data warehousing.

- Advanced SQL and Python programming.

- Experience in ETL/ELT pipeline development.

- Knowledge of data modeling and data transformation.

- Experience with Snowflake performance tuning and optimization.

Good to Have

- PySpark / Apache Spark.

- Snowflake Snowpipe and Streams & Tasks.

- AWS IAM and CloudWatch.

- Git, CI/CD, and Airflow.

Interested candidates can share their updated CVs.

📌 AWS Data Engineer (Snowflake)-Gurgoan (Delhi)
🏢 Kezan consulting
📍 Delhi