Data Engineer

We are looking for a Data Engineer to join our growing data team. The ideal candidate will have strong experience in designing and implementing scalable data pipelines, working with cloud platforms, and collaborating across teams to ensure the reliability, efficiency, and quality of data systems.

• Design, build, and maintain robust ETL/ELT data pipelines across various sources (APIs, databases, cloud storage).
• Develop and optimize data orchestration workflows using tools like Apache Airflow, Azure Data Factory, and Google Workflows.
• Perform data modeling and schema design for both relational and non-relational databases.
• Process and transform large datasets using SQL, PySpark, DBT, and Pandas.
• Collaborate with analysts, data scientists, and business stakeholders to provide reliable and accessible data.
• Ensure data quality, consistency, and governance across systems.
• Deploy and manage cloud-based data solutions using platforms such as Azure, Google Cloud, or AWS.
• Create documentation for data structures, processes, and pipeline architecture.

• 4+ years of hands-on experience as a Data Engineer or similar role.
• Strong knowledge of ETL/ELT processes, data modeling, and cloud data warehousing.
• Proficiency in Python and SQL for data transformation and automation.
• Experience working with data lakes, data marts, and data warehouses.
• Solid understanding of DevOps practices and microservice deployment (Terraform, Docker).
• Excellent communication skills and ability to work in a multicultural, remote team environment

• Our hiring and operational model allows us to offer you a 100% remote job, providing a career tailored to your personal goals, continuous training, and a flexible environment. You'll have the opportunity to participate in international projects with multicultural teams, allowing you to grow in an innovative setting.

• Employment contract as a service provider or contractor (not project-based, offering job stability).

• Direct hiring with us.

• Career development plan.

• Learning platform.

• Continuous training communities.

• Social initiatives.

• AC points.

• Salary: We don't have fixed salary ranges; we tailor the economic offer based on the candidate's salary expectations. In this case, you will let us know your monthly service fee, and that value will be taken into account when making the offer.