Data Engineer

Key Skills

Apache Flink, Apache Hadoop, Apache Hive, Azure, C++, Data Architecture, Data Warehousing, DynamoDB, Effective communication skills, ETL frameworks, Java Programming, MySQL, NoSQL, PostgreSQL, Python Programming, Scala Programming, Snowflake, SPARK Programming, SQL

Job Description

Fanatics is building a leading global digital sports platform. The company ignites the passions of global sports fans and maximizes the presence and reach for hundreds of sports partners globally by offering innovative products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans, a global partner network with over 900 sports properties, including major national and international professional sports leagues, teams, players associations, athletes, celebrities, colleges, and college conferences, and over 2,000 retail locations, including its Lids retail business stores. 

As a market leader with more than 18,000 employees, and hundreds of partners, suppliers, and vendors worldwide, we take responsibility for driving toward more ethical and sustainable practices. We are committed to building an inclusive Fanatics community, reflecting and representing society at every level of the business, including our employees, vendors, partners and fans. Fanatics is also dedicated to making a positive impact in the communities where we all live, work, and play through strategic philanthropic initiatives.

We are seeking a Data Engineer who has strong design, developments skills and upkeeps scalability, availability and excellence when building data pipelines and platform for our royalties and revenue share team. If you have proficiency in various data processing technologies and data stores, appreciate the value of clear communication and collaboration, and devote to continual capacity planning and performance fine-tuning for emerging business growth, this position is for you. As the Senior Data Engineer, you will be designing and building data pipelines and application platform services that power business processes.

What will you be doing?

• Build data pipelines and platform that can parse raw data algorithmically from different data sources and deliver standardized data to the royalties and revenue share system.
• Develop clean, safe, testable, and cost-efficient solutions; Build fast and reliable pipeline, platform with underlying data model that can scale according to business needs and growth
• Work with product manager to translate business requirements into scalable solutions, prioritize workload and deliver quality and functional products on a timely manner that can grow over time
• Make well-informed decisions with deep knowledge of both the internal and external impacts to teams and projects 
• Understand the system you are building, foresee shortcomings ahead of time and be able to resolve or compromise appropriately 

What we're looking for?

• Excellent understanding of data structures algorithms and at least 3 years of experience in distributed systems
• Knowledge of common design patterns used in Big Data processing
• Strong SQL background
• Strong development experience using programming languages: Scala, Java, C++, Python
• Proficiency in big data technologies like: Spark, Hadoop, Flink, Hive, Snowflake
• Experience with and deep understanding of traditional, NoSQL and columnar databases such as Oracle, MySQL, PostgreSQL, DynamoDB, Redshift, Vertica, Azure data lake
• Knowledge and experience in designing and developing data modeling & mining, ETL, data warehouse, AWS Glue, deployment and infrastructure management, and performance tuning
• Experience in partnering with architects, engineers in data environments that are complex, enterprise wide, multi-tenant, and host large scale of data
• Ability to build systems that balance scalability, availability and latency while solving different problems 
• Advocator of continual deployment and automation tools that can help improve the lives of our engineers 
• A good communicator and team player who has a proven track record of building strong relationships with management, co-workers and customers. 
• A desire to learn and grow, push yourself and your team, share lessons with others and provide constructive and continuous feedbacks, and receptive to feedback from others