Senior Data Engineer

FabFitFun delivers the season’s best beauty, fashion, fitness, and lifestyle products straight to your doorstep. Our mission is to “deliver happiness and well-being to everyone, everywhere". The FabFitFun subscription box is a quarterly, custom curated box with a vast scope of member benefits, including an engaged community, exclusive sales, and more

Duties & Responsibilities: 

• Responsible for developing and supporting data pipelines that support and enable the overall strategy of expanded data programs, services, process optimization, and advanced business intelligence 
• Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid) 
• Leading data discovery sessions with business teams, comprising product owners, data analysts, and cross-team technologists to understand enterprise data requirements of analytics projects 
• Ensure proper testing and monitoring are in place to provide trusted and reliable data from the data stack. 
• Partner with business domain experts, system analysts, data/application architects, and development teams to ensure data design is aligned with business strategy and direction ● Identify and document standard methodologies, standards, and architecture guidelines ● Dive deep, as required, to assist Business Intelligence Engineers through technical hurdles impacting delivery 
• Participating in a shared on-call rotation monitoring the health of the team’s systems 

Essential Knowledge, Skills, and Abilities: 

• 3+ years of data architecture related experience such as data analysis, data modeling, and data integration. 
• 5+ years of Experience in custom ETL design, implementation, and maintenance ● Advanced Knowledge of programming languages (e.g. Python and Object Oriented Programming) 
• Hands-on experience with SQL database design 
• Experience working on Cloud Platforms (AWS or Google ) 
• Experience working on CI/CD processes and source control tools such as GitHub and GitLab 
• Experience working with relational databases (Snowflake, Redshift) 
• Strong knowledge of orchestration tools (AirFlow Preferred), file storage systems(AWS S3, Google Cloud Storage), partitioning, and real-time processing of data ● Strong knowledge and experience with Agile/Scrum methodology and iterative practices in a service delivery lifecycle 
• Excellent communication and interpersonal skills with a demonstrated ability to influence a large organization 
• Bachelor’s or Master’s Degree in Computer Science, Information Systems, or related field 

Bonus Points: 

• Experience working with reporting tools such as Tableau 
• Experience with event streaming with modern event streaming toolings like Kafka or Kinesis. 
• Experience with subscription service products 
• Knowledge of accounting, FP&A, and marketing functions