Ashburn, VA, United States
September 21, 2024
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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...
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.
You’re curious about new technologies and the game-changing possibilities it creates. You like to stay up-to-date with the latest trends and apply your technical expertise to solve business problems. You thrive in a fast-paced, innovative environment working as a phenomenal teammate to drive the best results and business outcomes.
You'll Need To Have
In this hybrid role, you'll have a defined work location that includes work from home and a minimum eight assigned office days per month that will be set by your manager.
Scheduled Weekly Hours
40
Equal Employment Opportunity
We’re proud to be an equal opportunity employer - and celebrate our employees’ differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. 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.
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...
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.
- Processing large amounts of structured and unstructured data, including integrating data from multiple sources.
- Building secure, scalable, and stable data solutions using data storage technologies, distributed file system, data processing, and business intelligence best practices.
- Designing and planning for solutions in the various engineering subject areas as it relates to data storage and movement solutions: Enterprise system data architecture, data design, data persistence technologies, data processing, data management, and data analysis.
You’re curious about new technologies and the game-changing possibilities it creates. You like to stay up-to-date with the latest trends and apply your technical expertise to solve business problems. You thrive in a fast-paced, innovative environment working as a phenomenal teammate to drive the best results and business outcomes.
You'll Need To Have
- Bachelor’s degree or four or more years of work experience
- Four or more years of relevant work experience
- Hands on working experience in Google Cloud Platform technologies like Big query, Composer, Dataflow .
- Hands on working experience in Big Data Technologies like HIVE/Spark/HSQL/OOZIE
- Experience in analyzing large amounts of information to discover trends and data
- Excellent written and spoken communication skills.
- Master's degree
- Certification on data engineering tools and technologies.
- Experience with large cluster, databases, BI tools, data quality and performance tuning.
- Experience working on cloud technologies.
- Working knowledge of database (Teradata) and SQL (Structured Query Language)
- Experience in design and build of the infrastructure for data extraction, preparation, and loading of data from a variety of sources using technology such as Non -SQL and Big data.
- Experience in building data and analytics tools that will offer deeper insight into the pipeline, allowing for critical discoveries surrounding key performance indicators and customer activity
- Experience in identifying valuable data sources and automate collection processes
- Experience in undertaking and preprocessing of structured and unstructured data
In this hybrid role, you'll have a defined work location that includes work from home and a minimum eight assigned office days per month that will be set by your manager.
Scheduled Weekly Hours
40
Equal Employment Opportunity
We’re proud to be an equal opportunity employer - and celebrate our employees’ differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. 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.
