Data Engineer

Digital transformation company that builds and develops clients' digital future through strategy, design, and technology integration.
Latin America
Data
Mid-Level Software Engineer
Remote
101 - 500 Employees
3+ years of experience
Enterprise SaaS

Description For Data Engineer

2Brains is a dynamic technology company with over 200 professionals dedicated to building and developing their clients' Digital Future. They specialize in the synergistic integration of strategy, design, and technology to drive growth for businesses and technology disruptors.

The Data Engineer role at 2Brains is a crucial position focused on designing and developing information management models while supporting advanced analytics initiatives. The ideal candidate will be responsible for building and optimizing data pipelines, managing cloud infrastructure, and implementing data governance practices.

This position offers an excellent opportunity to work with cutting-edge technologies including Python, AWS services, and various data processing tools. The role requires a strong technical background in data engineering, with expertise in both SQL and NoSQL databases, ETL processes, and cloud platforms.

The company offers a collaborative and growth-oriented environment, with access to major clients and challenging projects. Benefits include flexible work arrangements, continuous learning opportunities through meetups and training sessions, and generous vacation policy including 4 weeks of vacation and birthday off.

Working at 2Brains means joining a team of digital innovation leaders who are committed to creating world-class digital products and adaptable technology platforms. The company values empathy, communication, collaboration, and proactivity, making it an ideal environment for professionals who are passionate about data engineering and want to make a significant impact in the digital transformation space.

Last updated 14 hours ago

Responsibilities For Data Engineer

  • Design and develop new information management models and maintain existing ones
  • Build and optimize data pipelines for ingestion, transformation, and efficient data loading
  • Manage cloud infrastructures (AWS, GCP, Azure), ensuring scalability and cost efficiency
  • Automate and monitor processes using DevOps tools like Airflow, Terraform, or Kubernetes
  • Implement quality controls and governance to ensure data integrity and availability
  • Collaborate with Data Science, Product, and Development teams to design business-aligned solutions

Requirements For Data Engineer

Python
Kubernetes
  • Experience working with BI technologies
  • Experience in building/operating distributed systems for extraction, ingestion, and processing of large datasets
  • Demonstrable capability in data modeling, ETL development, and data storage
  • Experience with business intelligence reporting tools (Power BI)
  • Knowledge of REST API microservices consumption
  • Knowledge of Git, Bitbucket, Docker, Jenkins, Webhooks
  • Python programming and solid software engineering foundations
  • Automation and scripting skills
  • Experience with Python libraries for data manipulation and analysis, and Apache Spark
  • Knowledge of SQL and NoSQL databases
  • Understanding of CI/CD, Dataflow
  • Knowledge of AWS S3, Redshift, and Glue

Benefits For Data Engineer

  • Work with a high-performance team, learning and developing together
  • Access to major clients and challenging projects
  • Continuous learning and growth through meetups, training, and cultural activities
  • Flexible and dynamic work environment
  • Birthday off
  • 4 weeks vacation

Interested in this job?

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