We are looking for a Data Engineer with extensive experience in the complete development cycle of information solutions, including analysis, design, development, certification, deployment, and maintenance, in OnPremise environments and Big Data technologies.
Requirements
- At least 3 years of experience as a data engineer.
- Experience in SQL and Spark optimization.
- Experience with data streaming.
- Relational and NoSQL databases, data warehouse design, datamarts, data lakes, and lakehouse.
- Distributed processing with Hadoop, Spark, and batch/streaming architectures.
- Development in Python, Scala, or Java, applying Clean Code principles.
- Construction of pipelines with ETL tools (Azure Data Factory, AWS Glue, SSIS).
- DataOps/MLOps strategies and deployment CI/CD.
Benefits
- A long-term contract with opportunities for professional growth.
- Private medical insurance.
- Continuous training, mentoring, and learning programs.
- Free access to AI training resources and cutting-edge AI tools.
- A flexible PTO policy, including paid holidays.
- Challenging, world-class software projects for clients in the US and Latin America.