Google Cloud Platform-Big Data Engineer

Role:
Google Cloud Platform Big Data Engineer
Location:
Nashville, TN, (Onsite)
Duration: 12 Months

Position Summary:

The Big Data Engineer/Senior-Level serves as a primary development resource for design, writing code, test, implementation, document functionality, and maintain of Next Gen solutions for the Google Cloud Platform Cloud enterprise data initiatives. This role requires working closely with data teams, frequently in a matrixed environment as part of a broader project team. Due to the emerging and fast-evolving nature of Google Cloud Platform/Hadoop technology and practice, the position requires that one stay well-informed of technological advancements and be proficient at putting new innovations into effective practice.

• This role will provide application development for specific business environments.
• Responsible for building and supporting a Google Cloud Platform based ecosystem designed for enterprise-wide analysis of structured, semi-structured, and unstructured data.
• Bring new data sources into Google Cloud Platform, transform and load to databases and support regular requests to move data from one cluster to another
• 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.