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 data engineers who can work with world class team members to help drive telecom business to its full potential.  We are building data products / assets for telecom wireless and wireline business which includes consumer analytics, telecom network performance and service assurance analytics etc. We are working on cutting edge technologies like digital twin to build these analytical platforms and provide data support for varied AI ML implementations. 

As a data engineer you will be collaborating with business product owners, coaches, industry renowned data scientists and system architects to develop strategic data solutions from sources which includes batch, file and data streams 

As a lead data engineer, you will be focusing on collecting data from multiple sources in various formats and load the data using various tools and frameworks as required. Expanding and optimizing data and data pipeline architecture.

• Working with stakeholders to understand requirements and effectively prioritizing for implementation.

• 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.

• Driving the technical design and implementation of large-scale data platforms, reusable data products and business ready data by utilizing modern and open-source technologies, in a hybrid cloud environment.

What we’re looking for... 

You’re curious about data and the game-changing possibilities it creates. You like to stay up-to-date with the latest trends and apply your technical expertise in Data Engineering to solving 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.

• Experience in GCP Bigquery, Cloud composer, Airflow, Dataproc, Dataflow etc.

• Experience in troubleshooting the data issues.

• Experience in complex SQL, DevOps.

• Experience with data pipeline and workflow management & Governance tools.

• Experience with stream-processing systems.

• Knowledge of Information Systems and their applications to data management processes.

Even better if you have one or more of the following:

• Master's degree in Computer Science or related field.

• Any relevant Certification on ETL/ELT developer.

• Certification in GCP-Data Engineer.

• Accuracy and attention to detail.

• Good problem solving, analytical, and research capabilities.

• Good verbal and written communication.

• Experience presenting to and influence stakeholders.

• Experience with large clusters, databases, BI tools, data quality and performance tuning.

• Experience in driving one or more smaller teams for technical delivery

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

Equal Employment Opportunity

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.