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Engineering III Consultant-Data Engineering

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor's degree or four years of experience, Four or more years of IT experience, Two plus years of Cloud Platform experience, Hands-on experience with GCP tools and SQL, Familiarity with Agile Development Methodologies.

Key responsabilities:

  • Implement End-to-End data pipelines on GCP
  • Develop reusable workflows for Data Ingestion
  • Perform Proof of Concept for data warehouse solutions
  • Monitor and ensure the reliability of data pipelines
  • Establish cross-functional relationships with IT groups
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Verizon XLarge https://www.verizon.com/
10001 Employees
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Job description

When you join Verizon

You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the V Team Life.

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.

Other Skills

  • Problem Solving
  • Team Leadership
  • Verbal Communication Skills

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