Job description:
company description nbc sports next is where sports and technology intersect. were a subdivision of nbc sports and home to all nbcuniversal digital applications in sports and technology within our three groups: youth & recreational sports; golf; and betting, gaming & emerging media. at nbc sports next, we make playing sports better through innovative technology and immersive experiences for athletes, coaches, players and fans. we equip more than 30mm players, coaches, athletes, sports administrators and fans in 40 countries with more than 25 sports solution products, including sportsengine, the largest youth sports club, league and team management platform; golfnow, the leading online tee time marketplace and provider of golf course operations technology; golfpass the ultimate golf membership that connects golfers to exclusive content, tee time credits, and coaching, tips; teamunify, swim team management services; gomotion, sports and fitness business software solutions; and nbc sports edge, a leading platform for fantasy sports information and betting-focused tools. at nbc sports next were fueled by role is part of our youth & recreational sports group, comprised of technology platforms such as sportsengine, gomotion, tourneymachine, and teamunify. we enable athletes, parents, coaches and team administrators in the youth and recreational space to manage their organizations, collect payments, share schedules, find programs to participate in and connect with other families. additionally, ncsi enables leagues and organizations to properly screen and train coaches in an effort to keep kids safe. job description sportsengine has an exciting opportunity for a data engineer ii. in this role as part of the data engineering team, you work to manage the full lifecycle of our data warehousing needs. our data warehouse and data operations are built on top of amazon web services using a modern data warehousing stack which includes the use of amazon redshift, apache airflow and sisense for reporting. in delivering the key priorities of the role, the data engineer will; work within a small team of passionate data scientists and data engineers.contribute to the management of the day to day operations of running our data warehouse.build data pipelines and etls for loading source system data into the data warehouse for further reporting and analysis.assist in building scalable data models to support reporting and tracking of key business and product metrics.build, analyze and manage reports and dashboards for business stakeholders.help identify better practices, tools, and relevant trends that can positively influence the data operations across the business. qualifications all candidates must meet the qualifications below: a minimum of 5 years of data engineering experience is required.experience with aws, python is required.working experience in building data marts and data modeling.deep experience and understanding of sql (mysql, postgres, redshift).experience with any etl (airflow, boomi) tools is required.experience with bi tools is a must (such as periscope, sisense, tableau). desired qualifications are as follows experience with; etl (airflow, boomi, stitch) tools.python programmingbi tools (such as periscope, sisense, tableau).database (redshift)aws (s3 bucket, dms, lambda) interested candidates must submit a resumecv through to be considered. additional information nbcuniversal's policy is to provide equal employment opportunities to all applicants and employees . nbcuniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the city of los angeles fair chance initiative for hiring ordinance, where applicable. if you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. you can request reasonable accommodations in the us by calling 1- and in the uk by calling +44 .

Resume:
<<summaryhighly motivated sales associate with extensive customer service and sales experience. outgoing sales professional with track record of driving increased sales, improving buying experience and elevating company profile with target market. skills machine learning/data mining & nlp - linear regression, neural networks/deep learning, naive bayes, svm, logistic regression,decision trees, k-mean, knn, n- grams, edit distance, gradient descentstatistical programming & packages - r, python, numpy, matplotlib, scikit-learn, pandas, ggplot2, shiny, dplyr, caret, e1071,kerasbusiness intelligence & visualization - tableau, qlik view, qlik sense, excel, obieehadoop ecosystem components - spark, hive, sqoop, flume, kafka, impaladatabases - oracle, mysql, postgresqloracle erp & fusion middleware - oracle e-business suite 11i & r12, oracle soa, oracle service busother languages & tools - /sql, core java, scala, rstudio, jupyter, sqldeveloper, toad, atomcertifications - tableau, sql & pl/sql experience data science & data engineer intern, 01/2017-presentenvestnet– ,working on big data ingestion using sqoop for transferring data from multiple mysql database servers to transient storage in amazon emr hcatalog and using hive to transfer data to persistent storage in amazon s3 bucket -> developing sqoop and hive scripts for data ingestion -> using r and spark in amazon emr for filtering, exploring, analyzing, providing insights on data and developing reports.oracle technical consultant & data analyst, 02/2013- 07/2016first american corporation–city. -hoc requests , reporting and for analyzing large data sets -> designed er diagrams, conceptual models, logical and physical models, created database objects - tables, indexes, sequences and views -> developed oracle business intelligence reports, created and modified oracle database objects - tables, views and indexes which increased the performance of oracle business intelligence reports by 60% in production environment -> prepared sql.loader scripts for loading data from other systems into oracle erp system, worked with on-site business team in performing data fixes -> created pl/sql interfaces for doing business validation, transferring data between erp modules and loading data to base tables.data analyst intern, 11/2012- 01/2013cmc limited–city.indiagt; developed sql scripts, worked on oracle 11i database and oracle reports. education and trainingmaster of science:information systems,expected inaugust 2017-university of utah, david eccles school of business-salt lake city,utahgpa:status-information systems data science and analytics specialization -> recipient of $15,000 graduate fellowship from david eccles school of business academic capstone project - big data -> building statistical regression and classification models, cleaning, exploring data and developing interactive web interface using r shiny, which helps the company to classify clients loan type and predicting the amount of loan they will take in future kaggle - house prices predictions -> applied different machine learning simple and advanced models on housing predictors for predicting the sales prices of houses, used imputation methods for filling missing and null values in the data set independent study & research - apache spark using scala and python rajeev gandhi memorial college of engineering and technology indiabachelor of science:computer science and engineering,expected inmay 2012--,gpa:status-computer science and engineering designed `hand draw shape recognition' interface which helps the user to invoke desired application just by drawing the shape, , apache, big data, business intelligence, draw, clients, data mining, databases, database, e-business, edit, erp, filling, drawing, java, machine learning, excel, middleware, mysql, nlp, networks, neural, oracle, /sql, postgresql, programming, python, reporting, research, sales, servers, scripts, sql loader, tableau, tables, toad, type, validation, view.