Role Description Join #Ensiteam! 🚀 We are looking for a Data Engineer (Databricks / AWS) to work with diverse teams and colleagues around the world in the design and commercialization of software. Qualifications - Bachelor’s or Master’s degree with 7 - 9 years of professional experience. - Proven experience in designing and implementing data solutions on the Databricks platform. - Solid understanding of Databricks fundamentals/architecture and hands-on experience in setting up Databricks cluster, working in Databricks modules (Data Engineering, ML, and SQL warehouse). - Create and maintain documentation for data pipelines, processes, and best practices. - Knowledge of Performance Optimization, Monitoring, and Automation would be a plus. - Understanding of data governance, compliance, and security best practices. - Knowledge in one of the cloud platforms, AWS is a must. - Strong Proficiency in Pyspark, Databricks Notebooks, SQL, Python, Scala, or Java. - Certifications in Databricks would be beneficial. - Strong understanding of data engineering best practices, data modeling, Data warehousing, and ETL processes. - Staying up-to-date with the latest Databricks features and best practices. - Proficiency in SQL for data querying and manipulation. - Strong problem-solving and troubleshooting skills. - Excellent communication and collaboration skills. Requirements - AWS - S3 - Databricks - Advanced SQL - Pyspark - Unity catalog - Batch - Streaming pipeline Nice to have - Experience with Kafka or Kinesis. - Knowledge of Data Lake architectures. - Experience with Teradata. - Experience with data migration projects. - Certifications in Databricks. - Knowledge of performance optimization, monitoring, and automation. Soft Skills - Strong analytical and problem-solving mindset. - Effective communication and teamwork. - Proactive and self-driven approach. - Ability to adapt to dynamic environments. Benefits - 100% remote opportunity. - Competitive compensation package. - Career growth with international clients. - Opportunities to work with cutting-edge technologies. - A team focused on personal development and learning.

• Desarrollar y mantener soluciones de datos. • Colaborar con equipos internacionales en proyectos. • Implementar mejores prácticas en el manejo de datos. • Participar en la transformación digital de los clientes.

• Design, develop, and maintain data pipelines using Azure Databricks • Build and optimize data transformations using PySpark and SQL in Databricks • Implement and maintain Lakehouse architectures using Delta Lake • Develop ETL/ELT pipelines orchestrated through Azure Data Factory • Integrate data from multiple sources into the data platform and analytical layers • Design and maintain data models and data warehouse structures for analytics • Ensure data quality, scalability, and performance of large-scale data processing pipelines • Collaborate with BI teams to support Power BI and reporting platforms • Support and evolve existing SQL Server data platforms and ETL solutions (SSIS) when required • Contribute to the design of modern cloud-based data architectures

• Lead design projects across Tidepool’s Data Management Platform as well as new products in development. • Translate broad need statements from patients and healthcare professionals into meaningful designs, balancing usability with safety regulations and technical considerations. • Communicate your data-informed vision and design rationale, that has users at the heart of it, to stakeholders and team members in a compelling way. • Partner closely with product, engineering and quality assurance engineers to drive design decisions and advocate for our users. • Solve a variety of product design challenges across iOS, Android, web and mobile web. • Build and manage a comprehensive design system and component library to maintain consistency. • Plan, design and lead a wide range of user research, including exploratory interviews and task-based usability testing. • Break down experiences thoughtfully for teams to ship value incrementally (from Minimum Valuable Experience to Desired Experience), making intentional trade-offs that are grounded in a clear perspective. • Develop deep understanding and empathy for people living with diabetes and healthcare providers and leverage that feedback to push for product refinement/improvement.