Verizon - Data Engineer - Google Cloud Platform (4-6 yrs)

Job Description :

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

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

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.

- Bachelor's degree or four or more years of experience.

- Four or more years of total IT Experience including two or more 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