Location: Gurgaon
Experience: 4+ Years
Notice Period: Immediate Joiners

Job Summary:

We are looking for an experienced AWS Data Engineer with strong 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).
- Robust 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 (Noida)
🏢 Kezan consulting
📍 Noida