THE OPPORTUNITYWe are hiring a Senior Data Engineer for our Data Solutions squad in Brazil! Join our growing Data team at Wellhub and contribute to our data democratization mission: make data accessible to everyone!We are responsible for empowering all teams by providing a scalable and reliable data platform to collect, organize, and process the deluge of data generated daily at Wellhub, following data modeling and governance best practices. Your work will directly impact our goal of enabling all teams to make data-driven decisions and generate business value from data.We use data and software engineering principles to solve large-scale production challenges. Our infrastructure is completely in the cloud, running Kubernetes, Trino, Spark, Kafka, Airflow, Flink, and more cutting-edge projects.YOUR IMPACTDesign and implement innovative data solutions that enhance automation, efficiency, and productivity for data practitioners across the organization.Collaborate with cross-functional teams to architect and develop in-house data solutions that meet organizational needs.Lead the evaluation and integration of cutting-edge technologies to optimize our data and machine learning processes.Ensure robust data architecture and technical product integration, enhancing the overall data ecosystem.Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life balance. WHO YOU AREHands-on expertise in data engineering and architecture, with the ability to follow software engineering best practices.Experience in building in-house solutions to address common data engineering patterns.Proficient in CDC, Flink, Spark, Airflow, Trino, and Kubernetes.Strong understanding of data lakehouse design and technical integration with products.Passionate about data democratization, making data accessible and useful across the organization.Familiarity with data management tools (e.g. OpenMetadata) and/or MLOps frameworks (e.g., Metaflow, Kubeflow)Previous experience in a cloud-based infrastructure, preferably using AWS stack is a plus. Experience with scalable data processing and storage solutions (e.g., S3 Management, Trino, Hive Metastore) is a plus. We recognize that individuals approach job applications differently. We strongly encourage all aspiring applicants to go for it, even if they don't match the job description 100%. We welcome your application and will be delighted to explore if you could be a great fit for our team.
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