Overview
On Site
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Skills
Configuration Management
Apache Maven
Application Development
Artificial Intelligence
Cloud Computing
Agile
Database
Git
Good Clinical Practice
Google Cloud Platform
Continuous Delivery
Continuous Integration
Critical Thinking
Data Analysis
Apache Avro
Apache Cassandra
Apache HBase
Apache Kafka
Conflict Resolution
Natural Language Processing
Problem Solving
Process Modeling
RDBMS
Microsoft SQL Server
MongoDB
Multitasking
Oracle NoSQL Database
SQL
Data Flow
Health Care
JSON
Java
Jenkins
Management
Microsoft TFS
Streaming
Teradata
Unstructured Data
Use Cases
Job Details
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.