Data Engineering Manager creating innovative AI solutions with a focus on product development in Brazilian financial market. Collaborating with various teams to implement scalable data solutions.
Responsibilities
Work with data scientists, data architects, machine learning engineers, and product managers to create innovative products and new technologies that facilitate, accelerate, and enable the development and deployment of AI/machine learning solutions at scale;
Work closely with business and technology teams to produce and deploy machine learning models;
Collaborate with tribe leadership to define standards for engineering and data science practices;
Develop end-to-end cloud data processing pipelines to ensure data is available for consumption in the data lake;
Manage the data platform budget and oversee the data engineering team;
Select the best technology stack and apply appropriate libraries and cloud services for each task, following engineering best practices and standards;
Align strategic requirements with technical teams and support planning and prioritization of activities;
Play an active role in team meetings and presentations for engineering and data science teams to disseminate best practices in model development;
Prepare executive presentations to demonstrate results and products to company executives.
Requirements
Development of new products;
Reports for managers and executives;
Developed models;
Analyses performed;
Data analysis;
Management of technical data engineering teams;
Data visualization;
Proficiency in Python, PySpark, and SQL;
Experience with Databricks and AWS;
API development experience;
Experience working in data environments;
Microsoft Office suite;
Advanced English;
Machine Learning – knowledge of fundamentals to work effectively with data scientists;
Ability to learn new programming languages and modeling/analysis frameworks is essential;
Ability and habit of reading technical documentation for data manipulation and machine learning packages is essential.
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