For the given 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...

As a Sr Engr Cslt - Data Engineer within the Artificial Intelligence and Data Organization (AI&D), you will manage various activities including artificial intelligence, data engineering, operations automation, security remediation and industry leading Omni channel technology to improve the efficiency, customer experience and profitability of the company.

You will analyze marketing, customer experience and digital operations environments to build data pipelines, transform data into actionable intelligence. You will turn raw data into usable data pipelines and build data tools and products for effort automation and easy data accessibility.

At Verizon, we are on a multi-year journey to industrialize our data science and AI capabilities. Very simply, this means that AI will fuel all decisions and business processes across the company. At 130B+ dollars in annual revenue, this is a pioneering opportunity to design and shape AI at scale in the Telco industry. With our leadership in bringing 5G network nationwide, the opportunity for AI will only grow exponentially in going from enabling billions of predictions to possibly trillions of predictions that are automated and real-time
Manage all marketing related projects on Big DataCloud platform including design of new applications and training other developers.
Gather requirements, assess gaps, and build roadmaps and architectures to help the analytics driven organization achieve its goals.
Work closely with Data Analysts to ensure data quality and availability for analytical modeling.
Identify gaps and implement solutions for data security, quality, and automation of processes.
Support maintenance, bug fixes and performance analysis along the data pipeline.
Design, build, document, test and implement new data pipelines and analytics. The job involves designing and building scalable data pipelines to provide key insights to the front-end applications and agents for quick decision making and effective channel orchestration.
Collaborate in cross-functional teams to source new data, develop schema requirements, and maintain metadata
Build semantic layer (curated facts), dimension tables for reports and analytics
Coordination with the offshore team for design and implementation.
Identify ways to improve data reliability, efficiency and quality
Use large data sets to address business issues
Use data to discover tasks that can be automated
Design and implement fact tables, reports and dashboards using Tableau, Looker and other tools
Analyze existing Teradata SQL queries for performance improvement.

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.

Even better if you have one or more of the following:
3+ years of Database experience in Teradata SQL, Teradata Utilities, SQL Server, SSIS, and OLAP
3+ years of experience in designing, building, and deploying production-level data pipelines using tools from Hadoop stack (HDFS, Hive, Spark, Streaming, HBase, Kafka, Oozie, NiFi etc.) and programming in PythonScala
1+ year(s) of experience in Cloud data engineering, preferably Google Cloud with Big Query
Dashboard development experience in Tableau, Qlik andor Looker
A degree. Master's degree in Computer Science, Information Systems and  or related technical discipline.
Teradata Big Data Analytics Certification
Knowledge of telecom industry
Experience to working with a distributed team
Ability to effectively communicate through presentation, interpersonal, verbal and written skills.

Why Verizon?

Verizon is committed to maintaining a Total Rewards package which is competitive, valued by our employees, and differentiates us as an Employer of Choice.
We are a 'pay for performance' company and your contribution is rewarded through competitive salaries, performance-based incentives and an employee Stock Program. We create an opportunity for us all to share in the success of Verizon and the value we help to create through this broad-based discretionary equity award program.
Your benefits are market competitive and delivered by some of the best providers.
You are provided with a full spectrum of health and wellbeing resources, including a first in-class Employee Assistance Program, to empower you to make positive health decisions.
We offer generous paid time off benefits to help you manage your work life balance and opportunities for flexible working arrangements*.
Verizon provides training and development for all levels, to help you enhance your skills and develop your career, from funding towards education assistance, award-winning training, online development tools and access to industry research.
You will be able to take part in volunteering opportunities as part of our environmental, community and sustainability commitment.

Your benefits package will vary depending on the country in which you work.

*subject to business approval

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.

This role is eligible to be considered for the Department of Defense SkillBridge Program.

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

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.>> the resume: <<SummarySelf-motivated Data Engineer offering 5 years of leadership experience across various industries. Methodical with significant experience in data mining and statistical analysis. Excellent problem-solver with a history of automating processes and driving operational enhancements. Effective at making important team decisions focused on moving products through planning, pre-production, and production phases.
SkillsData Integrity Validation and AnalysisDatabase Programming and SQLProduct PlanningAnalytical Problem SolvingStrong Work EthicApplication Support
ExperienceData Engineer II,03/2021toCurrentUsaa–Argyle,TX,Work with stakeholders to identify improvements to processes and data delivery using technical aptitude to deliver ad hoc tools, reporting, and analytics with a focus on the needs of the Residential Portfolio.Collaborated with solution architects to define database and analytics engagement strategies for operational territories and key accounts.Maintain JIRA projects, and workflows to meet project metricsWork with Residential Portfolio to reduce CIP (Construction In-Progress) by 69% across Residential, Cox Business, and Network Transformation programs by developing clear processes to mitigate risk, providing visibility through enhanced reporting, and database aligning.Build and validate the hypothesis of product ideas and infrastructure improvements for Fiber Reinforcement, New Build, Rebuild, and Expansion ProjectsProvide for database management to support the integrity of data for enterprise-supported tools and applicationsWork with software development team to design and customize applications (SiteTracker) applications and trackers to meet market exceptionsUtilized existing reporting to perform data blending as needed to serve business needsDevelop processes to improve workflow and department efficiencyDesigned and developed data quality dashboards with visualization in Tableau, Power BI, and SalesforceWork with the development team to define and implement customer change requests to enhance product functionalityComplete pilot testing, implement best data practices, and optimize workflow to enhance performance and drive efficiencies in the organization to meet or exceed customer and business expectationsUtilize WATTS and SiteTracker experience as a user and/or report developmentIdentify strengths and weaknesses of existing reports, suggests areas of improvement, and help enhance existing data reports to meet evolving requirementsInterpret and analyze data using exploratory mathematic and statistical techniques based on scientific methodsANALYTICS CONSULTANT,03/2019to04/2021Syndigo–Boise,ID,Partnered with WBS developers to automate manual processes, decreasing errors and saving time creating a 6% increase in margins 2021 fiscal yearManaged performance monitoring and tuning while identifying and repairing issues within database realm.Worked to create UI mockups and prototypes that illustrate how sites function and look likeProvided executives with analytics and decision-support tools used a basis for reorganization, consolidation, and relocation strategiesExecuted tests, collected and analyzed resulting data, and identified trends and insights to achieve maximum ROI in paid search campaignsEvaluated project requirements and content standards for each project to produce copy in line with a creative structureRecommended changes to website architecture, content, and linking to improve SEO positionsDATA QUALITY ANALYST,05/2018to09/2020Illumina–Virginia,MN,Worked mainly with well-known engineering clients to provide customers with quality productsDashboard development for project projection, project closing, and project profitResponsible for estimating, negotiating, and agreeing on budgets and times lines while overseeing the production processResponsible for drafted proposals per specifications and estimation skeleton with a focus on Data CentersDeveloped RPA's that work alongside ERP to run cost analytics and tracked quality data metricsProvide code compliance knowledge and enforcement for both owner and contractorDrive and own backlog grooming and management, prioritize iteration and drive acceptance testing and delivery of iterationsDefining road maps and prioritizing backlogs of work to meet with a vision of providing services that meet customer's standardsPrioritized functionality backlog after go-live to re-steer team to achieve the desired ROIPerformed root cause analysis based on rework data to create corrective and preventive measures throughout the product developmentCollaborated with Business Analysts and the software development team to identify and convert business goals into data requirementsDeveloped and streamlined productivity tracker to provide 3-4-month predictionsResponsible for managing the progression of a project from RFP toCO.
Education and TrainingMaster of Science:Computer Science - Analytics,Expected intoGeorgia Tech Master of Science in Computer-Atlanta, GA,GPA:Bachelor of Science:Civil Engineering  & Industrial Microbiology,Expected intoUniversity of Georgia-Athens,GA.GPA:>>. The result is, No Fit

Fit assessment: No Fit