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Senior Engineer Consultant-Data Engineering
Job Description
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...
We’re seeking a skilled Lead Senior Data Engineering Analyst to join our high-performing team and propel our telecom business forward. You’ll contribute to building cutting-edge data products and assets for our wireless and wireline operations, spanning areas like consumer analytics, network performance, and service assurance.
In this role, you will develop deep expertise in various telecom domains. As part of the Data Architecture & Strategy team, you’ll collaborate closely with IT and business stakeholders to design and implement user-friendly, robust data product solutions. This includes defining data quality and incorporating data classification and governance principles.
Your responsibilities encompass
Collaborating with stakeholders to understand data requirements and translate them into efficient data models
Defining the scope and purpose of data product solutions, collaborating with stakeholders to finalize project blueprints, and overseeing the design process through all phases of the release lifecycle.
Designing, developing, and implementing data architecture solutions on GCP and Teradata to support our Telecom business.
Designing data ingestion for both real-time and batch processing, ensuring efficient and scalable data acquisition for creating an effective data warehouse.
Formulating End to End data solutions (Authoritative Data Source, Data Protection, Taxonomy Alignment)
Maintaining meticulous documentation, including data design specifications, functional test cases, data lineage, and other relevant artifacts for all data product solution assets.
Defining Data Architecture Strategy (Enterprise & Domain level) and Enterprise Data Model Standards & Ownership
Proactively identifying opportunities for automation and performance optimization within your scope of work
Collaborating effectively within a product-oriented organization, providing data expertise and solutions across multiple business units.
Cultivating strong cross-functional relationships and establish yourself as a subject matter expert in data and analytics within the organization.
Acting as a mentor to junior team members
What we’re looking for...
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.
Four or more years of relevant work experience in data architecture, data warehousing, or a related role.
Strong grasp of data architecture principles, best practices, and methodologies.
Expertise in SQL for data analysis, data discovery, data profiling and solution design.
Experience defining data standards, data quality and implementing industry best practices for scalable and maintainable data models using data modeling tools like Erwin
Proven experience with ETL, data warehousing concepts, and the data management lifecycle
Skilled in creating technical documentation, including source-to-target mappings and SLAs.
Experience in shell scripting and python programming language
Understanding of git version control and basic git command
Hands-on experience with cloud services relevant to data engineering and architecture (e.g., BigQuery, Dataflow, Dataproc, Cloud Storage).
Even better if you have one or more of the following…
Master's degree in Computer Science.
Experience in the Telecommunications industry, with knowledge of wireless and wireline business domains.
Experience with stream-processing systems, API, Events etc.
Certification in GCP-Data Engineer/Architect.
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
Diversity and Inclusion
We’re 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.
Company benefits
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Working at Verizon
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