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CereCore · 2 hours ago

Big Data Engineer / Senior Level

Nashville, TN

Full-time

Onsite

Senior Level

CereCore is seeking a Big Data Engineer/Senior Level to join their team in Nashville, TN. The role involves designing, coding, testing, and implementing NextGen solutions for GCP Cloud enterprise data initiatives while collaborating with various data teams and promoting best practices in data engineering.

ConsultingInformation ServicesInformation Technology

Growth Opportunities

Responsibilities

Work with data engineers, data architects, SIEM Team stakeholders to understand product requirements and then design, build, and monitor streaming platforms and capabilities that meet today's requirements but can gracefully scale

Implement automated workflows that lower manual/operational costs, define and uphold SLAs for timely delivery of data, and move the company closer to democratizing streaming data

Enable a self-service SIEM data architecture supporting query exploration, dashboards, data catalog, and rich data discovery

Promote a collaborative team environment that prioritizes effective communication, team member growth, and success of the team over success of the individual

Design and create real-time data services using Confluent Kafka and/or Streamsets that accelerate the time from idea to insight

Adheres to and supports platform engineering best practices, processes, and standards

Produce high quality, modular, reusable code that incorporates best practices

Helps promote and support security best practices that align with industry standards and regulatory and legal requirements. Help mentor team members on complex data projects and following the Agile process

Help lead implementation of unit and integration tests and promote and conduct performance testing where appropriate

Be a leader in the HCA data community. Evangelize data and platform engineering best practices and standards, participate or present at community events, and encourage the continual growth and development of others

Develop a strong understanding of relevant product area, codebase, and/or systems

Demonstrate proficiency in data analysis, programming, and software engineering

Work closely with the Lead Architect and Product Owner to define, design and build new features and improve existing products

Produce high quality code with good test coverage, using modern abstractions and frameworks

Work independently, and complete tasks on-schedule by exercising strong judgment and problem-solving skills

Closely collaborates with team members to successfully execute development initiatives using Agile practices and principles

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

Works in an environment with rapidly changing business requirements and priorities

Work collaboratively with Data Scientists and business and IT leaders throughout the company to understand their needs and use cases

Work closely with management, architects and other teams to develop and implement the projects

Actively participate in technical group discussions and adopt any new technologies to improve the development and operations

Qualification

GCPData analysisSoftware engineeringAgile practicesConfluent KafkaStreamsetsHigh quality codeProblem-solving skillsTeam collaborationCommunication skills

Required

This role will provide application development for specific business environments

Responsible for building and supporting a GCP based ecosystem designed for enterprise-wide analysis of structured, semi-structured, and unstructured data

Bring new data sources into GCP, transform and load to databases and support regular requests to move data from one cluster to another