Data Engineer - New Grad

About Hivery 

HIVERY, officially formed in 2015, began with an advanced AI system built with bleeding edge technologies from machine learning, operations research, and design discipline. This system remains at the core of HIVERY to this day, and is continuously improved by an ever-expanding team of scientists, engineers, and designers as we pursue and develop our ultimate vision: The Retail Genome®.

We are a venture backed startup and closed series B funding in July 2022. HIVERY Curate, our flagship product, is the world’s only store-level assortment and space strategy simulation and optimization solution. HIVERY Curate enables a retailer or category manager to run assortment and category simulations and understand the financial impact of any assortment and space decision. Originally located in Sydney, Australia HIVERY is now a globally distributed organization hiring for remote roles in engineering.

We are seeking a new or recent graduate to join us as a Data Engineer in our Curate engineering team. In this role you will:

· Develop features and improvements to the HIVERY Curate product in a secure, well-tested, and performant way.

· Collaborate with Product and other stakeholders within Engineering to maintain a high bar for quality in a fast-paced, iterative environment.

· Solve technical problems of low to moderate scope and complexity.

· Write code that meets our internal standards for style, maintainability, and best practices for data engineering in a high scale environment. Maintain and advocate for these standards through code review

· Collaborate to identify impediments to our efficiency as a team ("technical debt"), propose and implement solutions.

· Represent HIVERY and its values in public communication around specific projects and community contributions.

· Ship small features and improvements with guidance and support from senior team members.

· Participate on-call rotations

To be successful in this role you will need to have:

· Familiarity with object-oriented design patterns, data structures, and algorithms

· Professional or academic experience with Python or Go.

· Professional or academic experience with one or more cloud providers (Azure, AWS, GCP) and infrastructure as code.

· Professional or academic experience with data warehousing, ELT, or ELT

· Professional or academic experience with big data technologies such as Apache Hadoop, Spark, Iceberg

· Proficiency in the English language, both written and verbal, sufficient for success in a remote and asynchronous work environment.

· Excellent communication skills and a capability to communicate with both technical and nontechnical audiences.

· Experience with performance and optimization problems and a demonstrated ability to both diagnose and prevent these problems.

· Comfort working in a highly agile, intensely iterative software development process.

· Positive and solution-oriented mindset.

· Effective communication skills: Tactfully achieve consensus with peers, and clear status updates.

· An inclination towards communication, inclusion, and visibility.

· Self-motivated and self-managing, with excellent organizational skills.

· Share our values, and work in accordance with those values.

· Ability to thrive in a fully remote organization.