AWS Data Engineer (Snowflake)-Gurgoan
Posted
Summary
Design, build, and maintain scalable data pipelines on AWS (S3, Glue, Lambda, Redshift) and develop/optimize Snowflake data warehouses, including ETL/ELT workflows, SQL tuning, and AWS-Snowflake integration. Requires 4+ years of data engineering experience with Python and advanced SQL; based in Gurgaon with immediate joining.
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).
- 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.