Tech Stack
AirflowApacheAzureCloudETLPythonSparkSQL
About the role
- We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.
- Senior Data Developer role to design and implement scalable data solutions for global clients in Brazil.
- Design and develop scalable data pipelines and infrastructure to process large volumes of data efficiently.
- Collaborate with cross-functional teams to ensure data integrity, accessibility, and usability.
- Implement and maintain data quality measures throughout the data lifecycle.
- Create and optimize dimensional data models to support analytical needs.
- Develop and maintain Data Lake/Data Warehouse solutions for our clients.
- Implement data governance practices including cataloging and lineage tracking.
- Configure and manage CI/CD pipelines for ETL processes.
Requirements
- Advanced English communication skills (reading, writing, and speaking)
- Experience working with international clients
- Strong coding experience with Python
- Hands-on experience with Snowflake and DBT
- Proven background in data engineering with modern data stacks
- Experience in Azure cloud environments using SQL and/or Spark (with Apache Airflow and Dataforms)
- Knowledge of data quality practices and implementation methods
- Familiarity with CI/CD pipelines for ETL processes
- Expertise in dimensional data modeling
- Experience implementing and working with Data Lake/Data Warehouse solutions
- Understanding of Data Governance principles
- Nice-to-have: Experience with on-premise data solutions
- Nice-to-have: Advanced SQL query optimization skills