Job Title: Data Engineering Leader
Overview:
We are seeking an experienced Data Engineering Leader to design and maintain scalable data pipelines on AWS. This role requires collaboration with data scientists and analysts to integrate data from multiple sources and support AI/ML initiatives.
Key Responsibilities:
• Develop and optimize ETL pipelines using AWS Glue.
• Utilize AWS S3, Glue, and SageMaker for data and AI workflows.
• Implement solutions in Python and SQL.
• Integrate data from Salesforce and APIs.
• Ensure data governance, documentation, and best practices.
Requirements:
• Proven experience in data engineering with AWS.
• Strong Python + SQL skills.
• Experience with ETL, data modeling, and pipeline optimization.
• Advanced English language proficiency for international collaboration.
Technical Requirements:
AWS (S3, Glue, SageMaker), Python, SQL, Salesforce, APIs.
• Integration of disparate data sources to enable business insights.
• Design and implementation of scalable data architectures.
• Collaboration with cross-functional teams to deliver data-driven results.