Remote Data Engineer

Description:

• 2Brains is a company dedicated to building and developing the Digital Future of its clients, integrating strategy, design, and technology to drive growth.
• The Data Engineer in the Finance Chapter will be crucial in designing, building, and evolving the engineering ecosystem, BI, and generative Artificial Intelligence.
• The main purpose of the role is to transform the company's financial records into actionable information, enabling high-impact strategic and operational decisions.
• Responsibilities include prioritizing and executing the backlog of initiatives related to information products in the Finance Chapter.
• The Data Engineer will design and build data pipelines from multiple sources to the Data Lake, ensuring scalability, performance, and quality.
• The role involves modeling the Data Lake in alignment with Data Governance guidelines and corporate architecture.
• The Data Engineer will monitor, maintain, and optimize processing and consumption flows of the Data Lake, considering performance, costs, quality, and SLA compliance.
• The position requires designing and publishing business domain-oriented views to facilitate adoption by analytics, finance, and strategy teams.
• Developing AI and generative AI-based solutions to automate analytical processes and enhance decision-making with predictive insights is also part of the role.
• The Data Engineer will promote and ensure the responsible use of information by disseminating standards, regulations, and best practices for data storage and security.

Requirements:

• A minimum of 2 years of experience in data areas, participating in the design, development, and maintenance of pipelines is essential.
• Advanced proficiency in SQL and Python, applied to data processing, transformation, and modeling is required.
• Practical experience in developing data pipelines from multiple sources to Data Lakes or Data Warehouses is necessary.
• Fluency in Google Workspace and cloud environments, ideally Google Cloud Platform (GCP), is expected.
• Knowledge of tools such as Airflow for process orchestration and BigQuery for analysis and storage is required.
• Familiarity with batch and streaming architectures, understanding their differences and use cases, is necessary.
• Proficiency in Git and good practices for versioning and deployment is required.
• Experience or interest in AI and generative AI solutions applied to analytical processes is desirable.

Benefits:

• The opportunity to work with a high-performance team, where learning and development occur together.
• Access to large clients and challenging projects is provided.
• Continuous learning and growth opportunities, including meetups, training, and cultural activities, are organized.
• A flexible and dynamic work environment is offered.