Data & Analytics Engineering (QuickSight Environment)

We are looking for a Data & Analytics Engineer to join our team. The focus is predominantly on Data & Analytics Engineering (backend), with limited exposure to reporting and dashboarding (frontend — QuickSight vs QlikView) for those who join. Responsibilities: Apply database modeling and database exploration skills with data architecture strategy and design principles to support metrics, analytics, AI/machine learning, and self-service business intelligence across the company. Support the team with data sets/products for building, standardize, and maintain reporting and self-service analytics as part of data lake and data mesh concepts; Preprocess and engineer features from structured and unstructured data, ensuring quality, lineage, and reliability; Analyze data from multiple sources to optimize strategies, operations, and portfolio decisions; Implement models and data products with cross functional teams; set up monitoring, alerting, and lifecycle management; Leverage cutting-edge cloud technologies such as AWS (preferable) and Azure and data warehouses Communicate insights clearly through compelling visualizations and narratives tailored to technical and business audiences; Deliver projects safely, on time, and cost effectively while upholding IT governance Proactively propose process optimizations, make timely data-driven decisions, and demonstrate resilience through change. Qualifications: Senior experience in data management and data analytics with considerable experience in manipulating large datasets and data products; Strong autonomy to lead analytic solutions from design to deployment; and strong foundation in analytics framework and data management; Strong experience with cloud data-lake architecture and technology, in particular AWS; familiarity with Python data processing libraries; knowledge of IaC is a plus; Advanced proficiency in SQL and Python; familiarity with R and object‑oriented scripting is a plus; Strong experience with Git for version control, including branch management, code reviews, and collaborative workflows in agile teams is a plus; Hands-on experience with SQL Server Integration Services (SSIS) for ETL/data integration workflows is a plus Solid data modeling and experience in data visualization and reporting technologies-especially AWS QuickSight (preferable), MS Fabric/PBI or QlikSense. Communication and mediation skills with the ability to influence and engage stakeholder and ability to understand technical concepts and turn them into business terms. Familiarity with agile work methodologies (e.g. SCRUM). Fluency in English is a requirement; Portuguese proficiency strongly preferred (ability to engage stakeholders in both languages)