To design, development, and enhancement of our AWS data environment.
- Experience setting up AWS Data Platform – AWS CloudFormation, DevelopmentEndPoints, AWS Glue, EMR and Jupyter/Sagemaker Notebooks, Redshift, S3, and EC2 instances.
- Track record of successfully building scalable Data Lake solutions that connects to distributed data storage using multiple data connectors.
- Must have a background in data engineering – Data Warehouse Development experience would be perfect
- Must have strong skills in SQL, Python, PySpark, and AWS
- Experience in designing, developing, optimizing and troubleshooting complex Data Pipelines using Spark cluster
- Ability to lead proofs-of-concepts and then effectively transition and scale those concepts into production at scale through, engineering, deployment and commercialization.
- Serve as an expert; envision and integrate emerging data technologies, anticipate new trends to solve complex business and technical problems.
Notes:
- 6 month contract.
- ** No 3rd parties. **
- ** No Visas allowed **
