Senior Data Engineer - #8492
Remote - USA
Fanatics Inc
Fanatics offers the broadest assortment of fan merchandise and memorabilia worldwide.Responsibilities:
- Own the technical roadmap for more than one subject area CRM, Marketing, CoreBI & Feeds platform to support the future growth of business to 6+ Billon dollars
- Provide thought leadership and mentoring to the data engineering team on design & architecture to build efficient and scalable systems
- Manage & build data driven apps with awesome SLA business teams & optimized cost for the engineering
- Partner closely with Product, various business teams, data science, data visualization and other engineering teams to deliver required data pipeline with high data quality and timeliness
- Work with external companies like Google, Bing, SFMC, Facebook etc to create services that can ingest and supply data to and from external sources
- Tech innovation on new and upcoming stacks to keep engineering at cutting edge
Requirements:
- 5+ years of data engineering experience
- Rock star in SQL, Data management & building data pipelines either on legacy or modern tech stacks
- Hands on experience on Big Data tech stack, Hadoop, Spark, Hive etc.
- Troubleshooting & Optimization data pipelines and app integration including legacy and big data technologies: EMR, ES, Spark, Hive, Hadoop, etc.
- Business acumen and efficient in understanding the needs of business and ability to breakdown steps in more agile and business driven deliverables
- Experience & Willingness to work with teams in different time zones
- Experience on AWS, Redshift, mySQL
- Hands-on experience with one or more core programming language such as Java or Python
- Nice to have experience on Qubole Data Services
- Nice to have working experience with data science team and understanding building variables, automation of models in production etc.
Tags: Agile AWS Big Data Data management Data pipelines Data visualization E-commerce Elasticsearch Engineering Hadoop MySQL Node.js Pipelines Python Redshift Security Spark SQL Streaming
Perks/benefits: Career development Startup environment Team events
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