GCP Data Engineer

Role: GCP Data Engineer

Location: Nashville, TN (Onsite)

Job Description:

Responsibilities
The following are highlighted entrepreneurial competencies and core expectations for the job/role:

• 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 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

• 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.

Experience

• 5+ years of relevant IT work experience

• 3+ years of experience in Data Engineer

Qualifications

• Bachelor's degree in Computer Science, or related discipline.

Required
A successful candidate will have:

• Strong understanding of best practices and standards for GCP Data process design and implementation.

• Two plus Years of hands-on experience with GCP 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.

Preferred
A successful candidate may have:

• Experience in Healthcare Domain

• Experience in Patient Data

• Any AWS, Azure cloud experience

Hardware/Operating Systems:

• Linux, UNIX

• GCP

• Distributed, highly-scalable processing environments

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):

• GCP Cloud Professional Data Engineer

Job Type: Contract

Pay: $ $55.00 per hour

Experience:

• Google Cloud Platform: 8 years (Required)

Work Location: In person