Job Title
We are looking for an experienced Data Engineer to design and maintain scalable data pipelines on AWS, ensuring performance quality and security. You will collaborate with data scientists and analysts to integrate data from multiple sources and support AI/ML initiatives.
Key Responsibilities:
* ETL Pipelines: Develop and optimize ETL pipelines using AWS Glue.
* Data Workflows: Collaborate with AWS S3, Glue, and SageMaker for data and AI workflows.
* Development: Develop solutions in Python and SQL.
* Data Integration: Integrate data from Salesforce and APIs.
* Data Governance: Ensure data governance documentation and best practices.
Tech Stack:
* AWS (S3, Glue, SageMaker)
* Python, SQL
* Salesforce, APIs
Requirements:
* Experience: Proven experience in data engineering with AWS.
* Skills: Strong Python + SQL skills.
* Pipeline Optimization: Experience with ETL, data modeling, and pipeline optimization.
* Communication: Advanced English international collaboration required.
Benefits
Avenue Code prioritizes privacy, adhering to GDPR, LGPD, CCPA, and CPRA principles. Candidate data shared with Avenue Code will be kept confidential and used only for application purposes.