Data Engineer 6760

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), major media brands (NBC Sports, CBS Sports, FOX Sports) and more than 200 collegiate and professional team properties, which include several of the biggest global soccer clubs (Manchester United, Real Madrid, Chelsea, Manchester City). 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.
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.
At Fanatics, we are passionate about leveraging data to drive growth and operational excellence. We firmly believe in putting data at the forefront of delivering highly engaging and fun experience for our sports fans!Job ResponsibilitiesPlay a key developer role and be part of building Data Infrastructure components such as Tracking, Messaging Queues, and Real Time Streaming & Batch Data PipelinesDeliver high quality data engineering components/services that are robust and scalableCollaborate and communicate effectively with other team members to deliver strong resultsMethodical approach to areas such as Data Modeling, Data QualityGuide 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 scaleJob RequirementsMust have 3+ years of experience with Big Data technologies such as Hadoop, Amazon EMR, Pig, Hive, Spark, and RedshiftMust have experience in building data platform – designing and building data model, integrate data from many sources, build ETL and data-flow pipelines, and support all parts of the data platformMust have expert level SQL programming knowledge and experience.Expertise with at least one programming language  - Python, Java or ScalaExperience in Web Services, API integration, Data exchanges with third parties is preferredData Analysis skill – can make arguments with data and proper visualizationEnergetic, enthusiastic, detail-oriented, and passionate about producing high-quality analytics deliverablesKnowledge of basic statistical analysis and machine learningMS/BS in Computer Science, MIS, Mathematics, Physics or other quantitative field or relevant work experienceAt Fanatics, we are passionate about leveraging data to drive growth and operational excellence. We firmly believe in putting data at the forefront of delivering highly engaging and fun experience for our sports fans!Job ResponsibilitiesPlay a key developer role and be part of building Data Infrastructure components such as Tracking, Messaging Queues, and Real Time Streaming & Batch Data PipelinesDeliver high quality data engineering components/services that are robust and scalableCollaborate and communicate effectively with other team members to deliver strong resultsMethodical approach to areas such as Data Modeling, Data QualityGuide 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 scaleJob RequirementsMust have 5+ years of experience with Big Data technologies such as Hadoop, Amazon EMR, Pig, Hive, Spark, and RedshiftMust have experience in building data platform – designing and building data model, integrate data from many sources, build ETL and data-flow pipelines, and support all parts of the data platformMust have expert level SQL programming knowledge and experience.Expertise with at least one programming language  - Python, Java or ScalaExperience in Web Services, API integration, Data exchanges with third parties is preferredData Analysis skill – can make arguments with data and proper visualizationEnergetic, enthusiastic, detail-oriented, and passionate about producing high-quality analytics deliverablesKnowledge of basic statistical analysis and machine learningMS/BS in Computer Science, MIS, Mathematics, Physics or other quantitative field or relevant work experience
Tryouts 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.
Job tags: Big Data Engineering ETL Hadoop Java Machine Learning Python Spark SQL