AWS Data Engineer (Snowflake)-Gurgoan

Department Icon Data Science Analytics & Machine Learning
Posted: 1 week ago
4-9 years
Hybrid - Noida, Gurugram, Delhi / NCR
Data Science Analytics & Machine Learning
work from office
Full Time
Closes 3 Jan 2027

Posted: 1 week ago
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Job Description
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Job Description

  • 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.

Skills

Stored ProceduresData WarehousingSQLAmazon RedshiftStarModelingAthenaRedshift AWSPythonData IntegrationData ModelingData WarehousingEtlSnowflakeData EngineerSqlAirflow

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