Our organization seeks a skilled Senior Data Engineer to lead the design and maintenance of scalable data pipelines on AWS.
Key Responsibilities:
* Create and optimize ETL workflows using AWS Glue for enhanced performance, quality, and security.
* Collaborate with data scientists and analysts to integrate diverse data sources and drive AI/ML initiatives forward.
* Develop solutions in Python and SQL to address complex business needs.
* Integrate data from Salesforce and APIs to fuel business growth.
* Maintain data governance, documentation, and adherence to best practices.
Tech Stack:
* AWS (S3, Glue, SageMaker)
* Python, SQL
* Salesforce, APIs
Requirements:
* Proven experience in data engineering with AWS for scalability and reliability.
* Expert-level proficiency in Python and SQL programming languages.
* Familiarity with ETL, data modeling, and pipeline optimization techniques.
* Advanced English communication skills for international collaboration.
We prioritize candidate confidentiality and adhere to global data protection regulations like GDPR, LGPD, CCPA, and CPRA.