Data Engineer

Who is Hapana?

Hapana is disrupting the market in leading a software solution in the fitness industry that helps gyms, fitness studios, and franchises unlock growth and efficiency. We have revolutionised the operations of multisite boutique businesses like F45, Gold’s Gym, BFT, STRONG Pilates, Vive Active, KX Pilates, and more. Our all-in-one platform uses automated lead nurturing, captivating member experiences, multi-layered reporting, and advanced day-to-day operational controls to assist in growing member communities, expanding location footprints, and boosting revenue.

We're committed to fostering growth for our teams and clients through innovation and teamwork. Our business prides itself on its fast growth and dynamic industry, so we require humans with a vision to work with our small but mighty team. As a global and remote-first company, we rely on open communication and people speaking up.

Job Summary

The Data Engineer will be responsible for designing, developing, maintaining data pipelines, ensuring quality, reliability, scalability, efficiency and ensuring the smooth transfer of data between systems. You will also create reports and build customised dashboards, providing our customers with actionable insights and data-driven decision-making tools. You will be responsible for designing, developing, and testing critical data applications.

Key Responsibilities

• Design, develop, and maintain data pipelines to move data between multiple systems and platforms.
• Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
• Create, maintain, and optimise reports and dashboards using GoodData and other data visualisation tools.
• Ensure data integrity, consistency, and accuracy across all systems.
• Troubleshoot and resolve data-related issues, ensuring timely and accurate delivery of data.
• Develop and maintain ETL processes to support data integration and transformation
• Help to optimise database performance and ensure scalability to handle large volumes of data.
• Stay updated with emerging technologies and industry trends to continuously improve data engineering processes.
• Document data engineering processes and provide training to team members as needed.
  
  

Qualifications & Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
• Proven experience as a Data Engineer or similar role.
• Strong proficiency in SQL and experience with relational databases (MySQL and Postgres).
• Proficiency in NoSQL (MongoDB)
• Experience with ETL tools and processes.
• Proficiency in data visualisation tools such as GoodData, Tableau, or Power BI.
• Familiarity with programming languages such as Python or R for data manipulation and analysis.
• Understanding of data warehousing concepts and best practices.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.
• Ability to manage multiple tasks and work independently in a fast-paced environment
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of big data technologies such as Hadoop, Spark, or Kafka.
• Experience with data modeling and schema design.
• Familiarity with data governance and data quality best practices.
• Experience with agile development methodologies.