Sr. Manager / Principal Engineer - Big Data

California - San Mateo

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Fanatics Inc
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Posted 20 hours 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.

GENERAL DUTIES & RESPONSIBILITIES

  • Leads with excellent technical abilities, leadership, strong communication skills, and adaptability to new technology. 

  • Leads the work of others in small groups of four to six data engineers to deliver medium- to large-scale projects, and act as a mentor and thought leader for the team

  • End to end ownership from setting up frameworks to evangelize best practices, continuous improvements and optimizations of code and processes, and ensuring team members adhere to those best practices during the design and development 

  • Collaborate and work closely with various cross-functional teams including business teams, analytics team, Product Managers, Platform, QE, SRE groups, and Data Scientists to get requirements converted into Technical design

  • Work on and lead multiple projects and initiatives with competing timelines and demands 

  • Be able to write, debug and refactor code and contribute as an individual contributor as situation demands it

QUALIFICATION OF SKILL & EXPERIENCES

  • Design and build solutions for our business partners using Big Data technologies

  • Must 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 Athena

  • Good experience in managing and optimizing Big Data ecosystems such as Spark, Hadoop and distributed systems such as Kafka

  • Must be a solid software engineer with excellent coding skills in one of the modern languages - Python, Go, Java or Scala/Spark
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  • Preferably have 10+ years of experience in big data domain

  • Preferably have experience in managing direct reports and people management 

EDUCATIONAL REQUIREMENTS

  • BA/BS in Computer Science, Software Engineering or other related Engineering disciplines or equivalent
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.


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: AWS Big Data Distributed Systems Engineering Hadoop Java Kafka Python Redshift Scala Spark