Match score not available

Engineering III Consultant-Data Engineering

81% Flex
EXTRA HOLIDAYS - EXTRA PARENTAL LEAVE - FULLY FLEXIBLE
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor’s degree or 4+ years of experience, Hands-On experience in Cloud Platform and GCP Python.

Key responsabilities:

  • Design and implement data pipelines on GCP
  • Orchestrate workflows and build data warehouse solutions
  • Operationalize data ingestion on GCP Platform
  • Implement monitoring and alerting solutions
  • Take an active role in production deployments
Verizon logo
Verizon XLarge https://www.verizon.com/
10001 Employees
See more Verizon offers

Job description

Logo Jobgether

Your missions

When you join Verizon

Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect around the world. We’re a human network that reaches across the globe and works behind the scenes. We anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together—lifting up our communities and striving to make an impact to move the world forward. If you’re fueled by purpose, and powered by persistence, explore a career with us. Here, you’ll discover the rigor it takes to make a difference and the fulfillment that comes with living the #NetworkLife.

What you’ll be doing...

We are looking for a Cloud Engineer who has experience in Designing and Developing Data Distribution Solutions on Cloud Platform.

You will be primarily responsible for the following activities but not just limited to these

  • Implement End-to-End data pipelines and ETL processes on the GCP platform to ingest, process, and transform large volumes of data from various sources.

  • Perform Data Engineer tasks to Orchestrate, Design, Develop the reusable workflows in the area of Data Ingestion on GCP

  • Perform Proof of Concept by evaluating options for building Data warehouse in GCP Platform

  • Design, Build & Operationalize Configurable & Scalable Data Ingestion solutions on GCP Platform

  • Implement monitoring, logging and alerting solutions to ensure the reliability, performance, and availability of data pipelines and infrastructure components on GCP.

  • Understand the Projects lifecycle, take active role in Production deployments and resolve deployment issues

  • Understand Business & Functional requirements and prepare Detailed Technical specifications

  • Establish and maintain cross-functional working relationships with other IT groups (including Production Support, Cloud Admin Team etc.) and key business stakeholders

Where you’ll be working…

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

What we’re looking for...

We are looking for a Cloud Engineer with Hands-On Experience in implementing Push/Pull Message Queueing (Data Distribution) solutions on Cloud Platform

  • Bachelor’s degree or four or more years of experience.

  • Four or more years of total IT Experience including 2+ years of Cloud Platform Experience

  • Experience on designing and building Data Pipelines for Batch/Stream process on GCP/Azure/AWS cloud Platform

  • Hands-on experience in Big Query, Composer/Air Flow, Cloud Functions, GCS, SQL Programming

  • Hands-on Experience in GCP & Python is mandatory

  • Experience on driving Data Engineering solutions E2E by guiding team

  • Hands-on experience in CI/CD Jenkins, Terraform etc.

  • Well versed with Agile Development Methodologies

  • Excellent written and spoken communication skills

Even better if you have one or more of the following

  • Experience on GCP Big Query, Data Transfer Services, GCP Data Proc and Data Flow

  • Knowledge of CI/CD Implementation on Cloud Platform 

  • Knowledge of Cloud Orchestration & Workflow scheduler Tools

  • Knowledge on Reporting tools like Looker, Qlik etc.

  • Certification on data engineering technologies preferably GCP Professional Data Engineer

  • Experience in analyzing large amounts of information to discover trends and data

  • Experience with Data Quality and Performance Tuning

If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.

Where you’ll be working
In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

Scheduled Weekly Hours
40

Diversity and Inclusion

Were proud to be an equal opportunity employer. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion page to learn more.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Soft Skills

  • motivational-skills
  • verbal-communication-skills
  • analytical-skills
  • collaboration