Somativa

• Design, build, and maintain scalable, efficient data pipelines to handle large volumes of data from diverse sources. • Develop and optimize ETL/ELT processes to ensure data quality, integrity, and availability. • Collaborate with data scientists, business analysts/Product Owners (POs), and developers to understand data requirements and implement robust solutions. • Manage and monitor data infrastructure, identifying and resolving performance bottlenecks. • Implement and maintain Data Warehouse, Data Lake, and Lakehouse solutions. • Ensure data security and compliance in accordance with data governance and industry regulations. • Document data architectures, pipeline strategies, and processes. • Participate in defining standards and best practices for data engineering. • Automate processes and tasks related to data engineering. • Mentor junior engineers and trainees.

• Design, build, and maintain scalable, efficient data pipelines to handle large volumes of data from various sources. • Develop and optimize ETL/ELT processes to ensure data quality, integrity, and availability. • Collaborate with data scientists, business analysts and Product Owners (POs), and developers to understand data requirements and implement robust solutions. • Manage and monitor data infrastructure, identifying and resolving performance bottlenecks. • Implement and maintain Data Warehouse, Data Lake, and Lakehouse solutions. • Ensure data security and compliance in accordance with data governance and industry regulations. • Document data architectures, pipeline strategies, and processes. • Contribute to defining standards and best practices for data engineering. • Automate data engineering processes and tasks. • Mentor junior engineers and trainees.

• Collaborate with clients to understand business needs, leading discovery and refinement activities; • Translate needs into requirements and user stories; • Ensure the team has clear understanding of the requests; • Manage and prioritize the data and AI backlog; • Monitor development progress in line with sprint planning; • Validate deliveries and ensure they meet defined acceptance criteria; • Track team metrics such as lead time and velocity, and report development progress to clients; • Manage stakeholders; • Support the commercial team with information on value delivered to clients and inputs for generating new demand; • Participate in Scrum events such as planning, daily stand-ups, reviews and retrospectives.