Data Engineer 6760

India, Hyderabad /
Technology /
Salaried
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 Responsibilities
Play a key developer role and be part of building Data Infrastructure components such as Tracking, Messaging Queues, and Real Time Streaming & Batch Data Pipelines
Deliver high quality data engineering components/services that are robust and scalable
Collaborate and communicate effectively with other team members to deliver strong results
Methodical approach to areas such as Data Modeling, Data Quality
Guide others in the team on architecture, design and quality engineering practices
Leverage these foundational Data Infrastructure to integrate machine learning & statistical models into real time services and power the BI & Visualization layers
Work closely with data scientists to assist on feature engineering, model training frameworks, and model deployments at scale
Job Requirements
Must have 3+ years of experience with Big Data technologies such as Hadoop, Amazon EMR, Pig, Hive, Spark, and Redshift
Must 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 platform
Must have expert level SQL programming knowledge and experience.
Expertise with at least one programming language  - Python, Java or Scala
Experience in Web Services, API integration, Data exchanges with third parties is preferred
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
MS/BS in Computer Science, MIS, Mathematics, Physics or other quantitative field or relevant work experience
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 Responsibilities
Play a key developer role and be part of building Data Infrastructure components such as Tracking, Messaging Queues, and Real Time Streaming & Batch Data Pipelines
Deliver high quality data engineering components/services that are robust and scalable
Collaborate and communicate effectively with other team members to deliver strong results
Methodical approach to areas such as Data Modeling, Data Quality
Guide others in the team on architecture, design and quality engineering practices
Leverage these foundational Data Infrastructure to integrate machine learning & statistical models into real time services and power the BI & Visualization layers
Work closely with data scientists to assist on feature engineering, model training frameworks, and model deployments at scale
Job Requirements
Must have 5+ years of experience with Big Data technologies such as Hadoop, Amazon EMR, Pig, Hive, Spark, and Redshift
Must 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 platform
Must have expert level SQL programming knowledge and experience.
Expertise with at least one programming language  - Python, Java or Scala
Experience in Web Services, API integration, Data exchanges with third parties is preferred
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
MS/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.