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:
<<summaryobtain a challenging career in information technology with an aim to enhance and promote my skills to blend with rapidly growing technology. summary over 13 + years of technical experience in analysis, design, development, management and implementation of data warehousing and bi solutions at enterprise level. experience in designing and maintaining data warehouse. proficient in designing etl to load tables from different sources. extensive experience in c++, c#, perl, /sql. experience in working and administering mpp databases like aster. experience in installing and working with hortonworks hadoop environment (hdp stack 2.3.4). experience in archiving click stream data to hadoop and writing pig and hive scripts to format the data and deduce meaningful information from the logs stored, per business requirement. experience working with the postgresql(aster data). extensive experience with data warehousing olap applications, star and snowflake schemas designs/implementation. extensive experience loading data (etl) into sql server databases using t-sql and ssis packages. experience in rdbms concepts, database management systems, database physical and logical design, data mapping, table normalization, creating db diagrams, oltp, olap. expertise with developing sql scripts and performance tuning expertise in designing, developing, architecture, administration and implementation of business intelligence. data warehouse applications under different environments core focus on data warehousing and etl tools, obiee/siebel analytics. strong knowledge of data models (star schema and snow flake schema). experience in providing end-to-end business intelligence solution by dimensional modeling design, developing and configuring obiee repository (rpd), interactive dashboards, obiee answers, security implementation, analytics metadata objects, web catalog objects (dashboard, pages, folders, reports) and scheduling ibots. expert in designing, developing, architecture, administration and implementation of business intelligence very good in understanding the business logics and documentation and troubleshooting/analysis of data. experience in analyzing existing reports and migrating them from hyperion to obiee. very good understanding of xml with its validation, transformation and manipulation excellent communication skills, both written and verbal. a team player, capable of integrating with and developing effective workgroups. enthusiastic to learn new technologies and fast adaptability to new platforms and environment. organized and detailed[job title]with proven history supporting complex business intelligence projects. collaborative team player to partner cross-functionally to deliver solutions. offering more than[number]years of experience in testing and troubleshooting databases. solution-focused data warehousing specialist with[number]years of experience working in[industry]sector. technically-savvy and proficient in data analysis, team support and process improvements.[job title]with strong background in data warehouse development and management. talented at[skill],[skill]and[skill]. known for critical thinking skills and[software]expertise. ambitious, career-focused job seeker, anxious to obtain an entry-level[job title]position to help launch career while achieving company goals. skills technical skills languages : /sql, transact-sql (t-sql) , unix , pythontools and technologies : microsoft visual studio 2008/2013, microsoft visio, etl manager, eden (amazon etl tools), autosys, hadoop, pig, hivedatabases : -sql server 2005/2008/, /sql, oracle 9i, oracle10g, aster data (mpp analytic platform), prestoreporting tools : obiee 10.x, hyperion 8.5, sqlplus, sqlloader, sql developer, aqua studio.relational databasesanalysis and modelingrequirements gatheringdata warehousinggood work ethicpeople skills team buildingdata managementproblem resolution experience big data engineer,-cognizant technology solutions– ,redshift, aws s3, emr, edp , dynamo db, hive, presto, amazon internal tools ( hoot, datanet, cradle) , unix, pythonactive member of the chronicle team to build data solutions to onboard metrics to tursimo applicationresponsible for designing, developing, scaling and maintaining redshift cluster to process 1200+ kpi metrics for retail and 3p applicationdesigning, developing, scaling and maintaining emr cluster to process hive scripts to parquet files to develop data model for the query engine layerexecuted and managed high level, time critical projects to generate free cash flow for the teamdeveloped python scripts to automate manual and repetitive engineering tasksdeveloped redshift clusters to implement sdpp policy for amazon private brandsdata warehouse developer, 06/2012- 09/201622nd century technologies– ,tools: aster data, autosys, perl, unix, oracle 10g, hortonworks hadoop (hdp 2.3.4), pig, hive, hbase, sqoop,ambariactive member of the data warehouse team for developing and maintaining etl process for the discovery data warehouseactive member of the etl team for developing a new edw for the re-vamped bn.comdesigned and developed ssis packages for the etl processes through sql server 2013 business intelligence development studioresponsible for designing ,developing and maintaining etl process to load the aster database a massively parallel (mpp) analytic platformmaintained and enhanced business intelligence systems to convert secure and manage dataflow into the data warehouse systemsexpertise with developing sql scripts and performance tuning for new and existing daily etl processinvolved in maintaining health of the database and scheduling scripts to send out alerts in case of any discrepancies’involved in designing and implementing shell scripts to archive historical click stream data to hadoop ecosystem for further analysisdeveloped scripts to move data from hdfs to rdbms and vice-versa using sqoopdeveloped scripts in analyzing and transforming data with pig and hiveevaluated etl applications to support overall performance and improvement opportunitiesworked closely with the email marketing team in designing and developing the feeds at different granular levels for email targeting campaignsexpertise in analyzing data quality checks using shell scriptsworked closely with the business analyst and build data marts and summary tables to ease their access to the data warehouseresponsible for gathering data requirements analysis, design, development, testing and implementation of data warehouse solutionsimplemented and validated automating feeds received from external party vendorsautomated the validation scripts of all exports that are generated out of the data warehouseinvolved in all phases of data mart creation of various business units across the companyworked with various aster sql-mr functions to analyze clickstream and device and digital activity data and generated summary tables to analyze the kpi of the data available.data engineer/bi developer, 01/2010- 05/2012amazon.com–city,state,tools: eden (amazon etl tool), obiee, perl, unix, oracle 9i/10g, hyperion 8.5active member of the data warehouse team for building a new data warehouse on amazon framework, maintain existing data warehouse which is still currentinvolved in all phases of the application development from business requirements analysis, design, development, and testing of the data warehousewrote the design document for converting existing legacy data into new structuresresponsible in designing, monitoring, troubleshooting, debugging, testing job/workflow/dataflow to load data from multiple data sources for load into a custom reporting data martresponsible for modifying of all the three layers in the obiee rpdresponsible for the development of custom reports and dashboards in obieedeveloped and delivered technical mapping documentationsdesigned and executed test plans to validate data and load validationresponsible in designing, validating and delivering daily, weekly and quarterly reports from the new structuresdesigned unix and sql scripts to handle the daily feeds we receive and load them into tablesresponsible for data list processing for direct and email campaigns ,process reporting, maintaining prospect databases, maintaining suppression data, ensuring process documentation and improvement, and providing data to other departments on requestresponsible for designing metadata, rpd and exposing business structures to various dashboards that were designed on obieecreate periodic and ad-hoc reports using transact sql stored procedures, obiee, excel, and ms accesstook responsibility for discovery and documentation of processes to recover lost domain knowledge a result of staff attrition. education and trainingm.s:computer science,expected in 06/2009-syracuse university-syracuse,nygpa:status-gpa: 3.33bachelor of engineering:computer science,expected in 05/2007-osmania university-hyderabad,gpa:status-.