Job Description:- Hands-on experience with one or more AWS data lake technologies:
- Data Lake: AWS Lake Formation, AWS Glue, AWS Step Function, AWS Lambda
- Data Movement: AWS CLI, Python API, Spark, Python Boto3
- Data Analytics: AWS Athena, S3 Select, EMR, Redshift
- Compute/Storage: AWS S3, AWS EC2
- Knowledge of at least one scheduling tool, Control-M Preferred
- Working experience in one or more of the following languages: Python (Preferred),Java/Scala (Good to Have)
- Knowledge and experience with testing, releasing, and CI/CD pipeline deployments into AWS using:
- Tools: Bitbucket/Git, Jenkins, Service Now
- Log Trace: AWS CloudWatch, Splunk. Knowledge on Snowflake - Horizon Catalog and Databricks - Unity Catalog is a huge plus.
Must have:- Minimum 6 years of experience of cloud data engineering
- Glue, S3, Lambda, Step function, Lake Formation, Snowflake, Python, and Terraform, CI/CD
- Conversant with AI Suite (Copilot/Claude/Agentic workflows)
Nice to have:Additional Skills:- Glue, S3, Lambda, Step function, Lake Formation, Snowflake, Python, Terraform, SF and Databricks.
Note:- Interview process: 1 round - zoom, coding assessment may be required, candidates to be prepared to share screen.
Pay Range: $50/hr - $55/hr
The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.