Vacancy expired!
- Spark & PySpark
- AWS Data Service
- AWS S3
- Snowflake
- Databricks
- Must Have Skills: AWS, Spark, AWS S3
- Good to have: Databricks, Snowflake
- The ideal candidate should be a professional with experience in designing, developing, validating and communicating enterprise-wide data solutions using modern tools and cloud technologies such as AWS.
- Deep experience in developing enterprise data strategies including data Ingestion, data persistance, data migration, data consumption, etc.
- Act as a Subject Matter Expert to the client organization for cloud end-to-end architecture
- Able to take advantage of your experience in the AWS in order to contribute and provide guidance and mentorship to Cloud Engineering team members as they support the development teams constructing applications and services.
- Excellent communication and collaboration skills, experience working in client collaborative environment
- Develop solutions architecture and evaluate architectural alternatives for private, public and hybrid cloud models, including IaaS, PaaS, and other cloud services
- Ability to apply analytical and creative thought process
- Proven success in contributing in a multi-location team-oriented environment.
- Ensure delivered solutions are realized in time frame committed; work in conjunction with project sponsors to size and manage scope and risk
- Provide support and technical governance, expertise related to cloud architectures, deployment, and operations
- Ability to learn/adapt quickly to new Technologies as per the business need.
- Project Experience:
- Experience delivering projects within an agile environment
- Experience in MDM, Metadata Management, Data Quality and Data Lineage tools
- E2E Data Architecture and Lifecycle (including non-functional requirements and operations) management
- Experience with SQL and NoSQL modern data stores
Vacancy expired!