Te kowhiringa | The Opportunity As a Data Engineer, you'll be at the heart of our data operations, designing and developing smart data pipelines that handle large volumes of real-time and batch data. You'll be working with AWS technologies like Kinesis, Glue, Lambda, Step Functions, and Redshift, ensuring that data flows efficiently and is readily available for our data analytics platform. This role is perfect for someone who enjoys problem-solving, optimising data performance, and automating processes while working in a geographically distributed team.

Your direct manager will be based in the United States, and your team members will be spread across India, Brazil. This means you'll need to be independent, a self-starter, and comfortable working autonomously. Responses from team members may take time to arrive to you due to time zones and you enjoy being someone who isn't afraid to work alone, navigate ambiguity, and push forward without immediate feedback.

The Day-to-Day Accountabilities Build & Optimise Data Pipelines - Design and maintain scalable and efficient data pipelines using AWS services. Integrate & Transform Data - Ensure data consistency, quality, and security while bringing data from multiple sources into a central data warehouse. Real-Time Data Processing - Use AWS Kinesis and Lambda to process streaming data in real time.

Automate Data Workflows - Utilise AWS Step Functions and other orchestration tools to streamline processes. Optimise Performance - Write efficient SQL queries and improve database performance for better reporting. Collaborate with Teams - Work closely with key internal stakeholders to deliver insights-driven solutions.

Ensure Data Governance - Implement best practices to maintain high data quality and security. Document Everything - Keep clear and structured documentation of pipelines, architectures, and processes. Nga pukenga matua | Important Skills A Data Enthusiast - You love working with data, optimising its flow, and ensuring it's structured for insights.

Experienced - You have at least 3 years of hands-on data engineering experience, preferably in cloud environments. AWS-Savvy - You've worked extensively with Kinesis, Glue, Lambda, Step Functions, and Redshift. SQL Pro - You know SQL inside out, can write complex queries, and optimise performance.

Coding Skills - You're comfortable with at least one programming language (Node.js preferred). ETL & Data Warehousing Expert - You understand ETL processes, data modelling, and schema design.

Detail-Oriented & Problem-Solver - You have a strong eye for detail and care deeply about data integrity, governance, and security. You enjoy troubleshooting data issues, optimising systems, and ensuring everything runs smoothly and efficiently. Strong Communicator with Emotional Intelligence - You can explain complex technical concepts to non-technical stakeholders in a clear and approachable way.

Working in a global, remote team, you understand the importance of effective.