Senior Data Engineer (AI Data Platform)
New
J
JobgetherData Engineering
BrazilContractSenior
Salary not disclosed
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Job Details
- Languages
- Upper-Intermediate to Advanced English proficiency (B2+/C1).
- Experience
- Minimum of 5 years of experience in Data Engineering or similar roles.
- Required Skills
- AWSPostgreSQLSQLETLSnowflakeData engineeringdbt
Requirements
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent professional experience.
- Minimum of 5 years of experience in Data Engineering or similar roles.
- Strong expertise in designing scalable data architectures, data models, and modern data platforms.
- Hands-on experience with Snowflake, dbt, advanced SQL, and ETL pipeline development.
- Proven experience implementing Medallion Architecture and cloud-native data engineering practices.
- Experience with AWS services, particularly S3, and workflow orchestration tools such as Dagster.
- Practical experience with PostgreSQL and/or Supabase environments.
- Familiarity with graph databases and AI/ML concepts, including embeddings and AI-driven data workflows.
- Strong analytical, problem-solving, and communication skills, with experience working in collaborative software development environments.
- Upper-Intermediate to Advanced English proficiency (B2+/C1).
Responsibilities
- Design, develop, and maintain scalable data architectures, data models, and cloud-native data platforms.
- Build and optimize ETL and data ingestion pipelines following Medallion Architecture principles (Bronze, Silver, Gold).
- Develop and maintain data warehouse solutions using Snowflake and implement transformation workflows using dbt.
- Create and manage orchestration pipelines leveraging Dagster or similar workflow management technologies.
- Manage and optimize cloud-based data storage solutions, particularly within AWS environments.
- Design and maintain graph-based data structures and support entity matching pipelines where applicable.
- Collaborate closely with AI, Data Science, and Engineering teams to ensure reliable and efficient data consumption for AI applications.
- Provide technical leadership, promote best practices in data engineering, and contribute to continuous improvement initiatives within Agile teams.
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