Description

Our Client is seeking Data & Cloud Services Engineer with hands-on experience building and supporting AWS data lake solutions, Snowflake platforms, and Python-based data pipelines. Candidates should have experience with infrastructure automation, CI/CD, and AI-assisted engineering tools.
 

Requirements

6+ years of cloud data engineering experience
 

AWS Glue, S3, Lambda, Step Functions, and Lake Formation
 

Snowflake
 

Python
 

Terraform / Infrastructure as Code
 

CI/CD pipelines and AWS deployments
 

Familiarity with AI-assisted tools such as GitHub Copilot, Claude, or agentic workflows
 

Use AI-assisted engineering tools appropriately to improve development productivity.
 

Additional Technical Experience
 

AWS Data Lake: Lake Formation, Glue, Step Functions, Lambda
 

Data Movement: AWS CLI, Python APIs, Spark, Boto3
 

Analytics: Athena, S3 Select, EMR, Redshift
 

Compute and Storage: S3, EC2
 

Scheduling: Control-M preferred
 

Programming: Python preferred; Java or Scala is a plus
 

CI/CD and Change Management: Bitbucket/Git, Jenkins, ServiceNow
 

Monitoring: AWS CloudWatch, Splunk
 

Preferred Qualifications
 

Snowflake Horizon Catalog
 

Databricks and Unity Catalog
 

Additional experience with Spark and cloud data analytics

Key Skills

Education

Any Graduate