Google Cloud Platform Data Engineer - Nashville, TN

Principal Big Data Engineer

Location : Nashville, TN

Contract Length: 12 Months

Responsibilities

• Communication and interpersonal skills
• Problem-solving and critical thinking skills.
• Understand strategic imperatives
• Technology & business knowledge
• 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.
• Actively participate in technical group discussions and adopt any new technologies to improve the development and operations.

Requirements

• Strong understanding of best practices and standards for Google Cloud Platform Data process design and implementation.
• Two plus Years of hands-on experience with Google Cloud Platform platform and experience with many of the following components:
• Cloud Run, GKE, Cloud Functions
• Spark Streaming, Kafka, Pub/Sub
• Bigtable, Firestore, Cloud SQL, Cloud Spanner
• HL7, FHIR, JSON, Avro, Parquet
• Python, Java, Terraform
• BigQuery, Dataflow, Data Fusion
• Cloud Composer, DataProc, CI/CD, Cloud Logging
• Vertex AI, NLP, GitHub
• Ability to multitask and to balance competing priorities.
• Ability to define and utilize best practice techniques and to impose order in a fast-changing environment.
• Must have strong problem-solving skills.
• Strong verbal, written, and interpersonal skills, including a desire to work within a highly-matrixed, team-oriented environment.
• Experience in Healthcare Domain
• Experience in Patient Data
• Databases:
• RDBMS MS SQL Server/Teradata/Oracle
• NoSQL, Hbase, Cassandra, MongoDB, In-memory, Columnar, other emerging technologies
• Build Systems TFS, Maven, Ant
• Source Control Systems Git, Mercurial
• Continuous Integration Systems Jenkins or Bamboo
• Certifications (a plus, but not required): Google Cloud Platform Cloud Professional Data Engineer