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:
<<professional profilehighly efficientpersonnel data coordinatorwell established in administrative environments that are fast-paced and challenging. strong organizational, technical, and analytical skills. skills order processingtime managementspreadsheet managementmicrosoft office proficiencyexcellent communication skills microsoft excel certifiedresourcefuladvanced clerical knowledgeinvoice processinginsurance processingadvanced clerical knowledgemulti-line phone proficiencycustomer service-oriented professional experience personel data coordinator, 06/2012to 07/2017the learning tree–city,state,maintained the front desk and reception area in a neat and organizeddrafted meeting agendas, supplied advance materials and executed follow-up for meetings and team conferences.provided the planning process for the development of the individualized service plan.managed the receptionist area, including greeting visitors and responding to telephone and in-person requests for information.completed and submitted clinical documentation in accordance with agency guidelines.designed electronic file systems and maintained electronic and paper files.assisted customer service with inbound and outbound calls regarding all hr inquiries.partnered with the it department to create a streamlined on boardingprocess for new hires.selected and interviewed candidates for all available positions.worked closely with hr business partners to facilitate year-end talent reviews and articulate team strengths.audited job postings for old, -hold and draft positions.assessed employee performance and issued disciplinary notices.tracked, verified, and updated reports on monthly/weekly/quarterly basis.​​​ education and traininghigh school diploma:,expected in2005tomurphy high school-,algpa: qualificationsability to scan large volumes of data in a short time frame.excellet analytical thinking and troubleshooting skills.excellent in verbal and written communication skills prepare and submit data required for auditsperform collection, interpertation and recording of data in accordance with company's guidelines and standards.analyze data for quality improvement purposes​​​.