Engineering Manager leading naval engineering projects at Babcock, overseeing complex engineering issues and managing international customers. Ensuring technical excellence while supporting national security and advancing careers.
About the role
- 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.
Benefits
- Health and dental insurance
- Meal voucher (Caju)
- Life insurance
- Home office allowance
- Profit sharing (PLR)
- Private pension plan
- Childcare assistance
- WellHub (Gympass)
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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