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 will participate in designing and developing new management information models and maintaining existing ones.
The role involves supporting advanced analytics initiatives by exploring internal and external information models (Data Discovery).
The Data Engineer will obtain historical data from multiple internal information sources to support the team's advanced analytics initiatives.
Responsibilities include building and optimizing data pipelines for efficient data ingestion, transformation, and loading.
The Data Engineer will manage cloud infrastructures (AWS, GCP, Azure) to ensure scalability and cost efficiency.
The role requires automating and monitoring processes using DevOps tools such as Airflow, Terraform, or Kubernetes.
Implementing quality controls and governance to ensure data integrity and availability is essential.
Collaboration with Data Science, Product, and Development teams to design solutions aligned with business needs is expected.

Requirements:

Mandatory experience working with BI technologies is required.
Experience in building and operating distributed systems for extracting, ingesting, and processing large datasets with high availability is necessary.
Demonstrable capability in data modeling, ETL development, and data storage is required.
Experience using business intelligence reporting tools, specifically Power BI, is essential.
Mandatory knowledge in consuming REST API microservices is required.
Mandatory knowledge in Git, Bitbucket, Docker, Jenkins, and Webhooks is necessary.
Proficiency in programming with Python and solid software engineering foundations are required.
Skills in automation and scripting are necessary.
Experience using Python libraries for data manipulation and analysis, as well as Apache Spark, is required.
Knowledge of SQL and NoSQL databases is essential.
Familiarity with CI/CD and Dataflow is required.
Knowledge of AWS services such as S3, Redshift, and Glue is necessary.

The opportunity to work with a high-performance team where learning and development are prioritized.
Access to large clients and challenging projects is provided.
Continuous learning and growth opportunities, including meetups, training, and cultural activities, are offered.
A flexible and dynamic work environment is available.
Special benefits include a day off for your birthday and four weeks of vacation.