Google Cloud Platform Data Engineer

  • Dearborn, MI
  • Posted 14 hours ago | Updated 5 hours ago

Overview

On Site
BASED ON EXPERIENCE
Contract - Independent
Contract - W2

Skills

IT Service Management
Marketing Intelligence
MI
Recruiting
Testing
CMMI
ISO 9000
Organizational Skills
Presentations
Collaboration
Product Management
Reporting
Software Design
Data Engineering
Fusion
Google App Engine
Multitasking
Innovation
Management
Test Plans
Analytics
Application Development
Cloud Computing
Big Data
Real-time
Terraform
Storage
Data Flow
Professional Development
Java
Python
Apache Beam
Data Processing
Continuous Integration
Continuous Delivery
Machine Learning (ML)
TensorFlow
Vertex
Artificial Intelligence
Solution Architecture
ProVision
Informatica
EDC
Git
Jenkins
Continuous Integration and Development
Problem Solving
Conflict Resolution
Communication
Agile
Lean Methodology
Attention To Detail
Performance Tuning
Data Integrity
Data Management
Data Warehouse
SQL
Sybase
Teradata
Google Cloud Platform
Google Cloud
Computer Science
Mentorship
Software Engineering
SANS

Job Details

V2Soft is a global leader in IT services and business solutions, delivering innovative and cost-effective technology solutions worldwide since 1998. We have headquartered in Bloomfield Hills, MI and have 16 offices spread across six countries. We partner with Fortune 500 companies to address complex business challenges. Our services span AI, IT staffing, cloud computing, engineering, mobility, testing, and more. Certified with CMMI Level 3 and ISO standards, V2Soft is committed to quality and security. Beyond our work, we actively support local communities and non-profits, reflecting our core values. Join us to be part of a dynamic and impactful global company!
Please visit us at to know more.

Skills Required:

Experience in working in an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment. Implement methods for automation of all parts of the pipeline to minimize labor in development and production - Experience in analyzing complex data, organizing raw data and integrating massive datasets from multiple data sources to build subject areas and reusable data products - Experience in working with architects to evaluate and productionalize appropriate Google Cloud Platform tools for data ingestion, integration, presentation, and reporting - Experience in working with all stakeholders to formulate business problems as technical data requirement, identify and implement technical solutions while ensuring key business drivers are captured in collaboration with product management This includes designing and deploying a pipeline with automated data lineage. Identify, develop, evaluate and summarize Proof of Concepts to prove out solutions. Test and compare competing solutions and report out a point of view on the best solution. Design and build production data engineering solutions to deliver pipeline patterns using Google Cloud Platform (Google Cloud Platform) services: BigQuery, DataFlow, Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Composer, Cloud SQL, Compute Engine, Cloud Functions, and App Engine.

Skills Preferred:

Strong drive for results and ability to multi-task and work independently - Self-starter with proven innovation skills - Ability to communicate and work with cross-functional teams and all levels of management - Demonstrated commitment to quality and project timing - Demonstrated ability to document complex systems - Experience in creating and executing detailed test plans

Experience Required:

In-depth understanding of Google s product technology (or other cloud platform) and underlying architectures - 5+ years of analytics application development experience required - 5+ years of SQL development experience - 3+ years of Cloud experience (Google Cloud Platform preferred) with solution designed and implemented at production scale - Experience working in Google Cloud Platform based Big Data deployments (Batch/Real-Time) leveraging Terraform, Big Query, Google Cloud Storage, PubSub, Dataflow, Dataproc, Airflow, etc. - 2 + years professional development experience in Java or Python, and Apache Beam - Extracting, Loading, Transforming, cleaning, and validating data - Designing pipelines and architectures for data processing - 1+ year of designing and building CI/CD pipelines

Experience Preferred:

Experience building Machine Learning solutions using TensorFlow, BigQueryML, AutoML, Vertex AI - Experience in building solution architecture, provision infrastructure, secure and reliable data-centric services and application in Google Cloud Platform - Experience with DataPlex or Informatica EDC is preferred - Experience with development eco-system such as Git, Jenkins and CICD - Exceptional problem solving and communication skills - Experience in working with DBT/Dataform - Experience in working with Agile and Lean methodologies - Team player and attention to detail - Performance tuning experience

Education Required:

Bachelor s degree in computer science or related scientific field * IT or related Associated topics: data architect, data center, data integrity, data manager, data management, data scientist, data warehousing, sql, sybase, Teradata

Education Preferred:

Google Cloud Platform Professional Data Engineer Certified * Master s degree in computer science or related field * 2+ years mentoring engineers * In-depth software engineering knowledge

V2Soft is an Equal Opportunity Employer (EOE). We welcome applicants from all backgrounds, including individuals with disabilities and veterans.
- to view all of our open opportunities and to learn more about our benefits.

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.