Start Date
Immediate
Expiry Date
05 May, 25
Salary
0.0
Posted On
05 Feb, 25
Experience
0 year(s) or above
Remote Job
No
Telecommute
No
Sponsor Visa
No
Skills
Unstructured Data, It, Data Analysis, Google Cloud Platform, Data Solutions, Business Intelligence, Data Storage Technologies, Data Processing, Data Architecture, Growth Initiatives
Industry
Information Technology/IT
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.
At Verizon, our data landscape is going through generational changes. For this team, the objective is to drive growth initiatives for Verizon Business by curating data to build products and work with key business leaders to deliver insights. As a senior data engineer you will focus on collecting data from multiple sources in various formats and loading the data using various tools and frameworks as necessary. You will be facilitating end-to-end data pipelining as well as support maintenance, bug fixes and performance analysis against the data pipelines. You will also expand and optimize data and the data pipeline architecture as we migrate to Google Cloud Platform and work with partners to understand requirements and effectively prioritize for their implementations.
At Verizon, our data landscape is going through generational changes. For this team, the objective is to drive growth initiatives for Verizon Business by curating data to build products and work with key business leaders to deliver insights. As a senior data engineer you will focus on collecting data from multiple sources in various formats and loading the data using various tools and frameworks as necessary. You will be facilitating end-to-end data pipelining as well as support maintenance, bug fixes and performance analysis against the data pipelines. You will also expand and optimize data and the data pipeline architecture as we migrate to Google Cloud Platform and work with partners to understand requirements and effectively prioritize for their implementations.