Data Engineer developing scalable data architectures supporting analytics and ML at Porto Bank. Ensuring quality and efficient data integration while managing risks and standards.
Responsibilities
Develop robust, scalable data architecture that supports data teams (Analytics, BI, Data Science, Machine Learning and other verticals) and business stakeholders, democratizing access to data in a secure, simple, structured and high-quality manner;
Design, build and integrate monitoring and observability mechanisms across the data ecosystem;
Design and build development standards and best practices, and document the environment and deliverables;
Document, monitor and ensure data quality;
Design and enforce best practices for pipeline development, with a focus on performance and scalability;
Ensure a cross-functional view to relate and integrate areas (Data Products and MLOps) and data solutions;
Ensure knowledge sharing across the entire team;
Identify, manage and mitigate risks related to activities under your and your team’s responsibility;
Ensure and implement the data architecture design;
Ensure a correct understanding of business needs and strategic vision;
Ensure that all mapped requirements to be developed are delivered with quality, scalability and on schedule;
Requirements
Bachelor's degree in Engineering, Computer Science or other related fields;
Experience with Azure and/or AWS;
Experience with Databricks;
Experience with Delta Lake / Lakehouse;
Experience with Cosmos DB, Azure Synapse and Analysis Services;
Experience with programming languages Python, SQL and PySpark;
Experience with distributed data processing;
Experience with CI/CD pipelines and/or Azure DevOps;
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