For the given 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 our mission to innovate, create larger-than-life events and connect with sports fans through technology that provides the ultimate in immersive experiences.
This 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 www.nbcunicareers.com to be considered.
Additional Information
NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. 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 1-818-777-4107 and in the UK by calling +44 2036185726.>> the resume: <<EducationBachelor of Engineering:Computer Science & Information Technology,Expected in05/2011toSri Krishnadevaraya University-Kurnool, AndhraPradesh,GPA:
SkillsETL Tools : DataStage ,Informatica Power Centre and SSIS PackagesBig Data Technologies : Hive,Spark , HDFS,Kafka, SqoopDatabase : Oracle ,SQL Server,DB2, Netezza , Mongo, SnowflakeProgramming Languages : UNIX, Python, PL/SQLWorking experience in Agile ,Waterfall model and tracking in JIRRA and Microsoft DevopsConfiguration Tools : PVCS , Microsoft TFS, Azure CI/CD pipelineCloud Experience: AzureJob Scheduling Tools: CA7, Control -MOperating System : Win XP, 7, 10 and UNIX.AdaptabilityData managementOrganization and Time managementTeamwork
Professional SummaryHaving 9 years of Industry experience in ETL Tools such as DataStage , Informatica and SSI Packages.Having experience in Data Bricks, Hive SQL, Azure CI/CD pipeline, Delta Lake, Data Lake, Hadoop File system, SnowflakeHaving experience in Building ETL pipe lines using Apache Spark, PythonExcellent Experience in Designing, Developing, Documenting, Testing of ETL jobs and mappings in Server and Parallel jobs using DataStage/Informatica to populate tables in Data Warehouse, DataMart ,ODS and Large Data sets.Experience in working on streaming data using IBM MQ and Kafka.Experience in working using Agile(SCRUM) and Waterfall Development MethodologyExperience in logging tickets in Service now, Version control tools PVCS, Azure DevOps CI/CD pipelineExperience in Azure work environment.Work experience in IBM Master Data Management(MDM) ArchitectureWorking Experience on Azure CloudExperience in working with multiple Data Bases like Oracle, SQL Server, DB2, Netezza, NOSQL Mongo DB, Salesforce, Snowflake DBExperience in working on data migration from oracle 9i to 10g and DB2 to NetezzaExpertise in using DataStage/Informatica to integrate with different Sources and Targets like Azure SQL database, Oracle, Mainframe systems, Netezza, Salesforce, SOAP and REST services, XML, SQL Server and MongoDBExperience in UNIX, AIX and Linux server resource monitoring and load balancing.Ensured that user requirements are effectively and accurately communicated to the other members of the development team and Facilitate communications between business users, developers and testing teams.Conducting internal and external reviews as well as formal walkthrough among various teams, and documenting the proceedings.Excellent problem-solving and trouble-shooting capabilities. Quick learner, highly motivated, result oriented and an enthusiastic team player
Work HistorySenior Data Engineer,02/2021toCurrentFactset Research Systems Inc.–San Francisco,CA,Bank Operational Data Distribution Hub is highly availability distribution center for operational data. The servers have been set up to provide failover capabilities in the event of any issues which could cause the hardware to shut down. The design of this system focuses on four main vendors. We load data toHDFS storage as well and built HIVE on top of this to analyze.Developed, implemented, supported and maintained data analytics protocols, standards and documentation.Analyzed complex data and identified anomalies, trends and risks to provide useful insights to improve internal controls.Contributed to internal activities for overall process improvements, efficiencies and innovation.Communicated new or updated data requirements to global team.Explained data results clearly and discussed how it can be utilized to support project objectives.Planned and implemented security measures to safeguard vital business data.Created and implemented database designs and data models.Monitored incoming data analytics requests, executed analytics and efficiently distributed results to support strategies.Built databases and table structures following OLAP/OLTP architecture methodology for web applications.Lead Data Engineer,01/2018to01/2021Cox Communications Inc–Dayton,OH,Master Data Management(MDM) EQH is primary vehicle for customer self-service for Life and Annuity products. Displays current policy values, statements, confirmation notices and prospectuses. Supports profile maintenance including address, phone, and email address changes, financial profile and investment strategies. Self-service tools include performance, financial transactions, ACH payments, and loans.Responsibilities:.Leads program/project application engineering teams consisting of cross functional, global, and virtual groups; directly supervises staff; assigns responsibility to members; monitors progress of daily activities.Monitor and manage program/project application engineering baseline to ensure activities are occurring as planned - scope, budget and schedule and managing variances.Managed performance monitoring and tuning while identifying and repairing issues within database realmProactively identify risks, issues and problems on programs/projects - leading engineering and project/program team to develop risk management and issue management plans.I have saved 1 person monitoring work by performing optimizationAbility to clearly articulate problems and proposed options and solutions and apply judgment in implementing application engineering methodologies, processes and practices to ensure security, resilience, maintainability and quality of MDM solutions.Analyses and defines detailed MDM processes, tasks, data flows, and dependencies.Develop custom mapping functions.Participates in system and integration testing.Produces database code (SQL, stored procedures, and any other database specific code) solutions meeting technical specifications and business requirements according to established designs.Proactively resolved issues within team.Validated warehouse data structure and accuracy.Cooperated fully with product owners and enterprise architects to understand requirements.Collaborated with multi-functional roles to communicate and align development efforts.Mapped data between source systems and warehouses.Performed systems and data analysis using variety of computer languages and procedures.Documented data warehouse architecture to guarantee capacity met current and forecasted needs.Developed and modified programs to meet customer requirements.Quickly learned new skills and applied them to daily tasks, improving efficiency and productivity.Provided global thought leadership in analytics solutions to benefit customersSenior ETL Developer,08/2017to12/2017Epam Systems Inc–Washington,DC,Netezza Re-write: This project is about migrating around 70 Data Marts runs on Oracle to Netezza in 10 phases. This includes redesigning DataStage jobs integrates with oracle to change it to Netezza and Informatica to DataStage migration.Role & Responsibilities :Requirement Analysis, Creating mappings, Unit Testing, Defect Fixing, Documentation and Status Reporting.Identifying Entities, cardinality and developing Logical and Physical Data Model.Mentored newly hired employees, offering insight into job duties and company policies for easier transition to job positionPrioritized and organized tasks to efficiently accomplish service goalsAnalyzing existing process, scripts and preparing design document with performance optimized approach.Performed impact analysis on every source and target tables.Responsible for estimation of Design, Development and Unit testing.Analyzing dependent objects and data involved and updating efficient unit testing approach.Responsible for scheduling changes which includes changing node to new 11.5 server, change in run time parameters, change in predecessor or successor requirements and removing jobs.Have published Play book or Implementation plan for every release.Responsible for driving, implementation and doing post implementation data checks.Resolved complex DataStage performance issues and other environment issues.Designed and Developed reusable components which can parse dsx and provide input and output SQLs used in DataStage code.Reviewed Netezza Deliverables and DataStage deliverables in every phase of project.Resolved Netezza SQL issues to Business users.Co-ordinated with downstream systems and worked on impacted system sign off, review and production preparation.Senior ETL Developer,01/2016to07/2017Epam Systems Inc–PA,State,Financial Move Forward (inforce Data): Equitable Enterprise Data Warehouse (EDW) manages collection of components in both Mainframe (Information Database(IDB)) and Distributed environments (Open system Data Warehouse(OSDW)) that include batch processes, operational data stores, business intelligence (BI) data marts and general data services to all IT lines of business.FMF-Inforce Data project consists of two phases.First phase involves migration of DB2 data to Netezza DB with help of integrated ETL tool [Data Stage 8.7].Second phase contains Data Modelling and DataMart design of migrated tables in Netezza.First phase, basically involves initial data load (IDL) of 400 Db2 tables to Netezza DB.Took care of installing Netezza client on UNIX box where Data stage client exists and ensured connectivity is good for designing data stage jobs Role & Responsibilities:.Understanding requirements and coming up with high level design.Created Low-level design of mapping document.Created mappings and transformations as per business requirements.Writing re-usable mapplets and Oracle PL/SQL stored procedures.Unit test jobs according to test plans.Monitored, debugged, and scheduled mappings according to requirements.Improving performance of mapping execution thus reducing CPU and execution cost and time.Providing System Testing and User Testing Support IQA of Mappings.Capable of assisting team of developers, both onshore and offshore to provide strategic plan for execution of this project.Ability to work with key team members to ensure solution meets business requirements.Provided Proof of Concept (POC) for technical approach regarding design of data stage jobs.Understanding requirements and coming up with technical design strategies with project team and business users.Contributed to detailed estimation of development work.Involved in Estimation of DBA Effort for this project.Designed Field level mapping template design based on business rules/ transformations and validations.Performed problem assessment, resolution and documentation for new and existing database objects.Prepared Knowledge Transition documents which were appreciated by business IT people.Communicated with data architects, programmers and engineers to keep projects on track.>>. The result is, Good Fit

Fit assessment: Good Fit