Overview
Skills
Job Details
Role: Data Warehouse Engineer
6 months, contract to hire
Location: Remote (CST working hours 8:00-5:00)
**W2 Only and no 3rd party firms
**required as client is not able to provide sponsorship
Job Summary:
Our client utilizes Redshift and AWS and will be cutting over to SAP in coming year. They are lacking the in house expertise to support these initiatives. The client will need to build up their team in the skill sets needed to create and maintain/support new data pipelines. The client needs someone who can grow into this team and role. Jr level will be mentored and grow into their role. They need someone with a little more history with the environment than the current internal team has.
Candidate should have a solid foundation in Python, SQL, AWS (Specifically Glue, S3, etc.). Should also have conceptual understanding of how to take items from Source-> Data Lake -> Data Warehouse
Must:
- 3+ years of working experience with AWS Services such as S3, Redshift, Glue, IAM, EC2, AWS CLI
- 3+ years of working experience with ETL and Data Modeling.
- Expert-level skills in writing and optimizing SQL
Plus:
- Intermediate/Advanced knowledge of Linux
- Experience in working with CI/CD tools such as Git, Bamboo, Jenkins
- Knowledge of Data Security, Engineering and Operational Excellence using standard methodologies.
- Advanced level knowledge in Python
- Intermediate level knowledge in Pyspark
- Knowledge of Infrastructure as code tools such as Terraform.
- Experience in working with ETL tools such as IBM DataStage.
- Experience with BI tools
- Experience with Metadata drive pipeline