A Little Bit About The Ambr GroupThe Ambr Group was formed after the merge of two global operators and acquirers of 3rd-party consumer products brands, Suma and D1 Brands in April 2023. We are founders, operators, and eCommerce veterans who have built and run companies with billions of dollars in online revenue. We love building brands and celebrating the entrepreneurs who get them started. We're always looking to add exceptional people who are ready for a challenge and to take our business to greater heights. If you are passionate about e-commerce and building the future of digital commerce, we would love to meet you!
The Ambr Group team comes from a wide variety of professional backgrounds and countries, but we all share a few core beliefs. Here are a few:
· We are fanatical about creating value for our brand sellers, customers, and Ambr Group's team members
· We’d rather write the rules than follow someone else’s – there is always a better way
to do things
· When it comes to building a world-class business, we shouldn’t compromise between
hard work and enjoying the journey – if we’re not having fun, we’re failing
About the Role
- At Ambr Brands our Data Engineer role is end-to-end, from unearthing data at its source to insights and automation for the team. Data is at the center of everything we do, and you’ll be a key partner to teams across the business. This role involves integrating data from a variety of sources, designing and building scalable pipelines, transforming data for use, and generating insights and tools that power the business. We’re entrepreneurial and enjoy experimenting with and leveraging the industry’s latest capabilities.
Key Responsibilities & Duties
- Build and maintain scalable infrastructure to provide teams seamless access to data and insights
- Extract, prepare and ingest data from various sources, set up ETLs to ready data for efficient access
- Monitor and Audit data flows regularly to ensure accuracy
- Understand and document underlying data from multiple sources
- Engineer the most efficient data housing, transformation and querying
- Manage self-service tools and model data for end users across the company to explore a wide variety of data with little assistance
- Leverage emerging technologies to automate insights, workflows and tasks
- Partner with teams to automate actions based on data, engineer creative solutions for passing data between tools
Requirements, Skills & Qualification
- 4+ years of experience in data roles at high growth companies
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field preferred
- Experienced in SQL, ETL/ELT, data modeling / transformation, data collection and instrumentation
- Experience with cloud-based data storage and processing technologies, snowflake, fivetran, and dbt experience preferred
- System monitoring and alerting, and dashboarding experience
- Self starter comfortable in fast past environments passionate about learning, experimenting and having an impact
