Staff Data Engineer # 8022

India, Hyderabad

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Fanatics Inc
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Posted 1 week ago

Company Overview Fanatics is the global leader in licensed sports merchandise and changing the way fans purchase their favorite team apparel and jerseys. Through an innovative, tech-infused approach to making and selling fan gear in today's on-demand culture, Fanatics operates more than 300 online and offline stores, including the e-commerce business for all major professional sports leagues (NFL, MLB, NBA, NHL, NASCAR, MLS, PGA), and more than 200 collegiate and professional team properties, which include several of the biggest global soccer clubs (Manchester United, Real Madrid, Chelsea). Fanatics offers the largest collection of timeless and timely merchandise whether shopping online, on your phone, in stores, in stadiums or on-site at the world's biggest sporting events.  At Fanatics, we’re a diverse, passionate group of employees aiming to ignite pride and passion in the fans we outfit, celebrate and support.  We recognize that diversity helps drive and foster innovation, and through our IDEA program (inclusion, diversity, equality and advocacy) at Fanatics we provide employees with tools and resources to feel connected and engaged in who they are and what they do to support the ultimate fan experience.    About the Team Fanatics is first and foremost a technology company. We are powered by cutting-edge tech created by our small agile teams using the latest tools and technologies under our highly analytical, forward thinking, and open-minded leadership. As the global leader in licensed sports merchandise, we challenge ourselves by improving our new fully responsive NodeJS cloud commerce platform, Elasticsearch engine, and deep data science capabilities while building the best-in-class retail manufacturing and supply chain technologies. Our tech teams work together to revolutionize data science and engineering initiatives, provide highly scalable real-time and streaming platforms, and create secure e-commerce and in-stadium fan experience products. Our own e-commerce platform transacts in over 190 countries, 17 languages, and 14 currencies. Our motto is “#GSD”—get stuff done—and we do just that. If you want to be at the nexus of sports, commerce, and technology, come be a part of our industry-leading team here at Fanatics Tech.
Fanatics is first and foremost a technology company. We are powered by cutting-edge tech created by our small agile teams using the latest tools and technologies under our highly analytical, forward thinking, and open-minded leadership. As the global leader in licensed sports merchandise, we challenge ourselves by improving our new fully responsive NodeJS cloud ecommerce platform, product search, personalization and entire ecommerce experience with data and deep data-science capabilities while building the best-in-class retail manufacturing and supply chain technologies. Our tech teams work together to revolutionize data science and engineering initiatives, provide highly scalable real-time and streaming platforms, and create secure e-commerce and in-stadium fan experience products. Our own e-commerce platform transacts in over 190 countries, 17 languages, and 14 currencies. 
 At Fanatics, we are passionate about leveraging data, ML and AI to drive growth and operational efficiencies. We firmly believe in putting data at the forefront of delivering an engaging experience for our sports fans! 
Fanatics Inc. is looking for highly motivated individuals to join our Data Science and Engineering team. You will collaborate closely with data-scientists, other ML Engineers, Software engineers, PMs, cross functional business units to address challenging problems using techniques from applied statistics, machine learning and/or data mining fields. 
Job Responsibilities
Play a key developer role and be part of building Big Data and ETL Infrastructure components for difference domains such as experimentations, product recommendations, search and personalizationDeliver high quality data engineering components/services that are robust and scalableCollaborate and communicate effectively with other team members to deliver strong resultsMethodical approach to areas such as Data Modeling, Data QualityGuide others in the team on architecture, design and quality engineering practicesLeverage these foundational Data Infrastructure to integrate machine learning & statistical models into real time services and power the BI & Visualization layersWork closely with data scientists to assist on feature engineering, model training frameworks, and model deployments at scale
Job Requirements
8+ years experijnce in Design and build solutions for our business partners using Big Data technologiesMust   be   an   expert   in   building   complex,   multistage   data-pipelines   with heterogenous   data   sources   using   Spark   (Scala),   Flink,   Hadoop/MR,   Hive,Redshift, S3 Data Lake, AWS AthenaGood   experience   in   building   and   optimizing   Bigdata   ecosystems   such   asSpark, Hadoop and distributed systems such as KafkaMust be a solid software engineer with excellent coding skills in one of the modern languages - Python, Go, Java or Scala/SparkDesigning and building data model, integrate data from many sources, buildETL and data-flow pipelines, and support all parts of the data platformMust have expert level SQL programming knowledge and experience.Data Analysis skill – can make arguments with data and proper visualizationEnergetic, enthusiastic, detail-oriented, and passionate about producing high-quality analytics deliverablesKnowledge of basic statistical analysis and machine learning desiredBS/MS in Computer Science, Mathematics, Physics or other quantitative field or relevant work experienceTryouts are open at Fanatics! Our team is passionate, talented, unified, and charged with creating the fan experience of tomorrow. The ball is in your court now. Ensure your Fanatics job offer is legitimate and don’t fall victim to fraud.  Fanatics never seeks payment from job applicants.  Fanatics recruiters will only reach out to applicants from an @fanatics.com or @fanatics.co.uk email address.  For added security, where possible, apply through our company website at www.fanaticsinc.com/careers  NOTICE TO CALIFORNIA RESIDENTS/APPLICANTS: In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we collect include your name, government issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information.  We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future contract positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies.
Job tags: AI AWS Big Data Data Mining Distributed Systems Engineering ETL Hadoop Java Machine Learning ML Python Redshift Scala Security Spark SQL
Job region(s): Asia/Pacific
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