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: <<SummaryHaving achieved a milestone of 7+ years of working as a software quality process manager within the financial software industry, I would be a great addition to your product management team as I have extensive experience with coordinating and managing efforts with multiple teams consisting of solution architects, project/program managers, product managers, and production support to name a few. In addition, my experience has taught me flexibility and versatility in developing innovative resolutions to a myriad of complex organizational problems while also dealing directly with clients.
Key SkillsMicrosoft Office SuiteSharePointHP Quality CenterTRACCrystal ReportsSQLFailure Modes Effects Analysis (FMEA)Requirements ManagementSystem-a-tion Business Analysis CertificationCertified HelixPlan Methodology FacilitatorSystem-a-tion Business Requirements CertificationVisual Basic (VB.Net)HTML
ExperienceSoftware Quality Assurance Consultant,03/2010-05/2015Valmet Corporation–Little Rock,AR,QA software process manager on large scale enterprise implementation projects for multiple national/international financial institutionsManaging the development and implementation of cross-company QA process throughout the SDLC including estimation, forecasting, budgeting, requirements review(s), requirements traceability, test schedule, overseeing testing execution, and defect resolution for implementation(s)Process Management- collaborated/coordinated with senior leadership to design end-to-end process methodology that led to an increase in overall estimation and forecast accuracy by more than 12% on project implementationsProcess Development- developed process templates to close gap between client user experience and end customer experience that resulted in identifying additional requirements that would have created a scope gap later on in the SDLCProcess Improvement- integrated QA methodology with the program/project management practice to create software quality standards across client and internal teams within the SDLC that resulted reducing implementation defects by 28% on averageBusiness Analyst,2009-03/2010Metavante–City,STATE,Manage scope and requirements on medium to large scale financial institution projects for enterprise flagship productsDefined requirements by coordinating with solution architect and vendor teams to define testable requirements and scope for implementation projectsRequirements Management- analyzed client business needs to formulate project scope & requirements to efficiently translate to technical and testable requirements while cutting down hours for internal teamsRelationship Management- developed collaborative relationships with product teams to identify appropriate coverage of business requirements while reducing gaps by 5% on all projectsDocument Management- identified necessary documents to fulfill clients' business needs and ensured accuracy and completeness by conducting audits throughout the SDLC to identify gaps early in the SDLC while reducing number of necessary change requests by clients on projectsUser Scenario Development- coordinated user scenarios and screen mock-ups with clients that increased test coverage allowing early detection of defects within the SDLCSoftware Test Analyst Intern,02/2008-2009Metavante–City,STATE,Perform manual testing on small to medium scale implementation projects for internal systems linking directly into client environmentsDeveloped and managed test plans, test cases, test execution, and defect identification/verificationData Analysis- created test execution reports to identify any potential risks to meeting implementation deadlines Test SuiteDevelopment- coordinated testing efforts with business analysts, QA leads, and technical analysts to develop testing suite and increased overall testing efficiency by 5%Defect Management- identified and managed software defects prior to client implementation, resulting in reduced development re-work by 8% Mentoring - trained newly hired interns & full-time employees on product specifications/functionality through presentations that effectively reduced learning curve by 30%
EducationMBA:,Expected in2017--,GPA:Status-Expected to start in Fall 2015Bachelor's:Business Administration,Expected in2008-University of Wisconsin-Milwaukee,WisconsinGPA:Status-Emphasis in finance & marketingPMP Certification                                                                                              In Progress:,Expected in--,GPA:Status-
LanguagesUrdu                                               Hindi                                           English>>. The result is, No Fit

Fit assessment: No Fit