2 Candidate Submittal Slots, New High Level Policy
• *Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
Bill Rate market rate - market rate
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
MSP Owner: Rob Finton
Location: Anywhere in US
Duration: 6 months
GBaMS ReqID: 10535876
Competencies: 10+ years experience required!
Digital : Databricks
Data Architecture and Modeling
Only GC or USC Candidates!
Technical/Functional Skills
• Experience with Databricks batch processing/data lake design experience
• 3+ yrs hands on expertise in Databricks to design, build, and optimize high throughput batch data pipelines
• 3+ yrs hands-on expertise in Databricks lakehouse architectures on cloud platforms (Azure/AWS)
• Experience with Microsoft Azure platform technologies like Databricks applications, Event Hub, Data Factory, Scala, Synapse Analytics, Delta Lake, Cosmos DB, or DevOps
• Must have good troubleshooting and problem-solving skills, including debugging multi-threaded applications
• Experience with configuration management and build automation capabilities such as Git/Jenkins
• Must have good oral and written communication skills to effectively communicate with various IT teams and business representatives
• Must be able to both collaborate in a team-oriented environment and work independently with direction
Preferred:
• Experience with Big Data solutions and no SQL DBMSs
• Experience with Azure, AWS, or other Public Cloud environments
• Prior experience leading large-scale projects
• Knowledge and working experience with Agile methodologies
Experience Required 8-12 Years
Roles & Responsibilities As a Senior Engineer, you will be responsible for using your technical knowledge to solve business problems. We are looking for a talented individual that can serve as a subject matter expert in their area of focus and represent their department on complex assignments. You will be responsible for evaluating elements of technologies effectiveness through requirements gathering, testing, research and investigation and make recommendations for improvements that result in increased quality and effectiveness. You will be required to listen to and evaluate customer needs to determine and provide high quality solutions that align with customer expectations.
In this role on the Cloud Data Engineering team, you will be a part of a team responsible for migrating existing data platform solutions to the cloud. You will also collaborate with others to develop new data pipelines. As a data engineer in the Cloud Data Engineering team, you will need to work in a data first mindset. You will use Microsoft Azure Cloud PaaS technologies to engineer our data solutions in a way that allows for us to optimize our information, make better decisions, and meet our customer's needs. If you have a passion for engineering, working with massive amounts of data and empowering smart business decisions, this is the role for you.
Generic Managerial Skills
• Must have good oral and written communication skills to effectively communicate with various IT teams and business representatives
• Must be able to both collaborate in a team-oriented environment and work independently with direction
Education: Bachelors