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About ROLLER
ROLLER is a global software-as-a-service company aimed at assisting businesses in the leisure and attractions industry operate more efficiently and offer memorable guest experiences. ROLLER provides its clients with a comprehensive range of venue management features, including ticketing, point-of-sale, CRM, self-serve kiosks, memberships, digital waivers, and more. We are a rapidly expanding global company with clients in over 30 countries across a broad spectrum of industries such as theme parks, museums, zoos, trampoline parks, water parks, aquariums, and wake parks, to name a few!
Our team, comprised of over 100 energetic, driven, intelligent, and humble professionals, is the backbone of ROLLER. We truly believe that the sky's the limit for us, and we are on course to becoming a global success story. Above all, we are passionate about what we do, and we are seeking like-minded individuals to join us on this exciting journey!
About the Role
We are seeking a Data Engineer to join our dynamic team, to work on our existing data platforms, and to provide reporting capabilities to various sectors of the business in collaboration with key stakeholders.
You are someone who thrives on solving complex problems using data, engaging with business stakeholders, defining problem statements, resolving customer concerns, and coordinating the development and release of features and fixes. Your strong technical skills coupled with communication abilities enable your contribution to the creation and maintenance of best-in-class data solutions.
What You’ll Do
- Contribute to the architecture and optimization of data infrastructure using big data cloud technologies within GCP and AWS to enable data-driven decision-making and meaningful insights for our customers and internal stakeholders.
- Implement data warehousing best practices with BigQuery, including data partitioning and clustering to optimize query performance and cost.
- Design, build, and maintain ETL data pipelines using best-practice methods and tooling to integrate large volumes of data from diverse internal and external sources.
- Collaborate with customer-facing product teams, internal teams, and other business stakeholders to convert data-related needs into technical requirements and dashboard designs.
- Address data-related issues and incidents, including customer support requests, investigate and rectify data discrepancies and anomalies to ensure data accuracy.
About You
- Bachelor’s or Master's degree in Computer Science, Information Technology or a related field.
- Over 3 years of experience in data engineering using data warehouse cloud technologies, with a focus on designing and implementing solutions on Google Cloud Platform and/or Amazon Web Services.
- Strong proficiency in GCP services such as BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Data Catalog.
- Solid understanding of data modeling, ETL/ELT processes, and data integration techniques.
- Experience using Python to develop scripts and small programs for job orchestration and/or data manipulation, including familiarity with modules like Pandas, NumPy and PySpark.
- Extensive experience with SQL, focusing on analyzing and validating complex and disparate data sets.
- Experience with BI tools such as Looker, PowerBI, or Tableau.
- Strong hands-on technical skills, capable of guiding in troubleshooting and delivering business features independently.
- Proficient in working with DevOps tools, Git, CI/CD pipelines, and infrastructure as code.
- Excellent communication skills, the ability to collaborate well within a team environment, and capability to articulate data to key stakeholders.
Desirable Skills
- Prior experience with building and maintaining Looker dashboards, reports, and data exploration tools.
- Previous experience with AWS services such as EC2, S3, RDS, EMR.
Perks!
- You get to work on a category-leading product that customers love in a fun, rapidly expanding industry. You also get to work in a driven, people-focused environment with leaders who care about their employees. Check our Capterra and G2 reviews!
- We offer a work from home allowance to help you set up your new workspace!
- 4 ROLLER Recharge days per year (that is 4 additional leave days that we all take off together as a team for rest and recuperation).
- Participate in our ‘Vibe Tribe’ - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising, & cause-related campaigns... you name it, we're willing to make it happen!
- Team member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.
- 16 weeks paid Parental Leave for primary caregivers and 4 weeks paid Parental Leave for secondary carers.
- Highly flexible work environment with an All Access pass to WeWork depending on your location.
- Work with a driven, fun, and switched-on team that continually raises the bar in everything they do.
- Individual learning & development budget plus genuine career growth opportunities as we continue to expand!
What You Can Expect
- Initial call with our Talent Acquisition Manager: You’ll have an initial call with our Talent Acquisition Manager to discuss some of your experience to date, salary expectations and you can address any initial questions you might have.
- Interview with our Lead Data Engineer & Chief Technology Officer: You will meet with our Lead Data Engineer & Chief Technology Officer to learn more about the role & ROLLER while discussing your experience in more detail.
- Loop Interviews: This is where you will meet our wider ROLLER team to do a ‘vibe check’ on us to ensure our culture & vibe match what you are looking for!
- Offer: If all lights are green and the fit feels right, we’ll conduct reference checks and you'll receive an offer to join!
