Senior Data Engineer
- Recruiter
- rewardStyle
- Location
- Homeworking
- Posted
- 20 Jan 2021
- Closes
- 14 May 2021
- Ref
- 4313893003
- Function
- Technology
- Level
- Senior Manager
Title: Senior Data Engineer
Location: This is a fully remote position. If you are located near one of our rewardStyle offices, come have a coffee when you want to socialize!
Reports to:VP of Engineering
Your Role:
Join the rewardStyle team! We are looking for you, a talented and passionate developer looking to tackle challenging features and interesting problems at large scale. You'll work with a team of highly motivated and fast-moving professionals focused on continuing to grow ourselves, our innovative apps and our products.
What you'll do...
What we're looking for...
Location: This is a fully remote position. If you are located near one of our rewardStyle offices, come have a coffee when you want to socialize!
Reports to:VP of Engineering
Your Role:
Join the rewardStyle team! We are looking for you, a talented and passionate developer looking to tackle challenging features and interesting problems at large scale. You'll work with a team of highly motivated and fast-moving professionals focused on continuing to grow ourselves, our innovative apps and our products.
What you'll do...
- Be an integral part of rewardStyle's data engineering team.
- Build data delivery services that support critical operational and analytical applications for our business operations, customers and partners.
- Collaborate with Product, Business Intelligence, LTK, and other rS teams to understand the requirements and implement them into scalable solutions.
- Work and succeed in an agile development environment.
- Evaluate new technologies for reliability, performance, scale, and cost.
- Be a technical expert and help raise up the teams you are on.
- Continuously integrate and deploy your own code in production environments.
What we're looking for...
- Ability to lead activities to produce data engineering architectural and design artifacts/work products
- Passion and experience in building data pipelines, data lakes, and ETL solutions at a large scale.
- Self-driven to propose and build data engineering solutions to reduce infrastructure cost and improve scalability
- Programming expertise in Scala, Python, or Java.
- Working knowledge of NoSQL and SQL Databases (Cassandra, Postgres).
- Working knowledge of Big Data tools (Spark, Hadoop, Hive).
- Experience in AWS Big Data and serverless solutions is a big plus (AWS Glue, EMR, Redshift, Athena).
- Retail domain knowledge is a plus.
- 1+ years of coding in a production big data ecosystem is a plus