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 . 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.

Resume:
<<summarylogical data analyst skilled in requirement analysis, software development and database management. self-directed and proactive professional with 3.5 years of vast experience collecting, cleaning and interpreting data sets. natural problem-solver possessing strong cross-functional understanding of information technology and business processes.strong knowledge in aws cloud services likeecs,ec2infrastructure,s3for storage, elastic mapreduce(emr),athenaas query manager andcloudwatch.very well experience d with various visualization tools liketableauby extracting data from various data sources.mastering/leading in development of applications/tools usingpythonfor 3 years.worked on performance tuning and optimization to improve the efficiency in script executions.good working experience loading data files inawsenvironment and performed sql testing on aws redshift databases.exceptional ability to research, analyze and convey complex technical information to diverse end-users at all levels. skills data validationunix systemsqlpython3bi tools(tableau, looker, datapoint)data bases(sql-server, postgres, mysql, python,oracle)amazon web services (aws)servicenowjenkinspagerdutysplunkgit experience data analyst/data engineer, 09/2021tocurrentmanagement decisions, inc.– ,worked in banking industry under risk management sector to maintain various applications, tools, data pipelines which have both upstream and downstream applications.saved at least 7 hours/week of team effort by automating manual business tasks using python pandas within first 3 months of joining the team.strong experience in implementing various tables and schemas in amazon redshift db, snowflake db also worked on migrating various tables from redshift to snowflake db.organized several empathy sessions with business users and established brand new high impact tableau dashboards along with improving existing dashboards as per new user requirement which received immaculate user response.working knowledge of amazon’s elastic cloud compute (ec2) infrastructure for computational tasks, simple storage service (s3) as storage mechanism.managed timely flow of business intelligence information to users.collected, tracked and evaluated current business and market trend data.proven ability to manage all stages of project development, strong problem solving skills and analytical skills and abilities to make balanced and independent decisionsdata analyst, 04/2019to 08/2021capital one–city,state,involved in analysis, design and documenting business reports such as executive summaries, scorecards and drill-down reports.worked on performance tuning and query optimization for increasing the efficiency of scripts.developed, monitored the workflows and responsible for performance tuning of staging and 3nf workflows.analyzing and profiling data returned for data integrity and business decisionsresponsible for migrating legacy reports to a new platform by rebuilding them to meet current business requirements.audited internal data and processes to identify and manage initiatives, improving business performance.assisted integration of internal and external data tools and products, maintaining stability and performance across systems.provided technical support for existing reports, dashboards or other tools.maintained or updated business intelligence tools, databases or dashboards.disseminated information regarding tools, reports or metadata enhancements.communicated with customers, competitors and suppliers to stay abreast of industry or business trends.data analyst/production support analyst, 05/2018to 03/2019dollar shave club–city,state,used jira agile methodology extensively to track day to day scrum activities.writing sql scripts for selecting the data from servers and modifying data as need with python pandas and stored back to different data base servers organized and facilitated sprint planning, daily stand-up meetings, scrum of scrum, sprint review, sprint retrospectives, and other scrum-related meetings.writing sql scripts for selecting the data from servers and modifying data as need with python pandas and stored back to different data base servers organized and facilitated sprint planning, daily stand-up meetings, scrum of scrum, sprint review, sprint retrospectives, and other scrum-related meetings.manipulating, cleansing and processing data using python code and sql.troubleshooted various production failures related to data loads.responsible for loading, extracting and validation of client data collected data from various databases to sql server by extensively using joins and sub queries in sql according to requirements of the dev team.responsible for loading, extracting and validation of client data collected data from various databases to sql server by extensively using joins and sub queries in sql according to requirements of the dev team.responsible for loading, extracting and validation of client data collected data from various databases to sql server by extensively using joins and sub queries in sql according to requirements of the dev team.initiated daily status email to track the data loads in production environment. education and training:management information systems,expected in 12/2017touniversity of mary hardin-baylor-belton,txgpa:bachelor of science:electrical, electronics and communications engineering,expected in 08/2015toauroras technological and research institute-uppal(india),gpa:.