What are the responsibilities and job description for the HPG Big Data Engineer / Senior-Level position at CereCore?
Classification: Contract-to-hire
Contract Length: 12 Months
Position Summary
The Data Engineer / Senior-Level will be part of the team in Nashville, TN. The Senior Data Engineer serves as a primary development resource for design, build, implementation and support of ITG Data Management enterprise application initiatives. The role requires working closely with data teams, frequently in a matrixed environment as part of a broader project team. As a senior-level position the role requires ‘self-starters’ who are proficient in problem solving and capable of bringing clarity to complex situations. The culture of the organization places an emphasis on teamwork, so social and interpersonal skills are equally important as technical capability. Due to the emerging and fast-evolving nature of Big Data/Azure technology and practice, the position requires that one stay well-informed of technological advancements and be proficient at putting new innovations into effective practice.
In addition, this candidate will have a history of increasing responsibility in a small multi-role team. This position requires a candidate who can analyze business requirements, perform design tasks, construct, test, and implement solutions with minimal supervision. This candidate will have a record of accomplishment of participation in successful projects in a fast-paced, mixed team (consultant and employee) environment. In addition, the applicant must be willing to mentor other developers to prepare them for assuming the responsibilities.
This role will provide application development for specific business environments. Focus on setting technical direction on groups of applications and similar technologies as well as taking responsibility for technically robust solutions encompassing all business, architecture, and technology constraints.
Responsibilities
- Responsible for building and supporting an Azure based ecosystem designed for enterprise-wide analysis of structured, semi-structured, and unstructured data.
- Support regular requests to move data from one cluster to another
- Manage production support teams to make sure service levels are maintained and any interruption is resolved in a timely fashion
- Analyze requirements, design Master Data Management solutions, and integrate those solutions for customer environments.
- Closely collaborates with team members to successfully execute development initiatives using Agile practices and principles
- Leads efforts to design, development, deploy, and support software systems
- Collaborates with business analysts, project lead, management and customers on requirements
- Participates in the deployment, change, configuration, management, administration and maintenance of deployment process and systems
- Proven experience effectively prioritizing workload to meet deadlines and work objectives
- Gather requirements, designs, constructs and delivers solutions with minimal team interaction
- Works in an environment with rapidly changing business requirements and priorities
- Bring new data sources into GCP/HDFS, transform and load to databases.
Requirements
- 8-10 years of Data Engineering experience
- 8-10 years of experience with Azure Functions, Synapse pipelines, Azure storage accounts for data lakes, Azure queues and tables for configurations, LogAnalytics and Azure Kubernetes.
- Bachelor’s Degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Electronics Engineering, or related field.
- Development skills with Python
- Experience with ETL processes or Analytics/Reporting applications
- Experience with Microsoft Azure or Amazon Web Services (AWS)
- Strong development experience with Microsoft SQL or Postgres, including advanced features
- Solid expertise in developing modern, scalable applications
- Experience with HL7 or other healthcare integration a plus
- Supply chain or healthcare industry experience a plus