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)