 
        
        We are seeking a senior data engineer to design and maintain scalable data pipelines on AWS.
Performance, quality, and security are top priorities in this role.
The successful candidate will collaborate with data scientists and analysts to integrate data from multiple sources and support AI/ML initiatives.
Key Responsibilities:
• Bolster and optimize ETL pipelines using AWS Glue.
• Work with AWS S3, Glue, and SageMaker for data and AI workflows.
• Develop solutions in Python and SQL.
• Integrate data from Salesforce and APIs.
• Evaluate and ensure data governance, documentation, and best practices.
Tech Stack:
• AWS (S3, Glue, SageMaker)
• Python, SQL
• Salesforce, APIs
Requirements:
• Proven experience in data engineering with AWS.
• Strong Python and SQL skills.
• Experience with ETL, data modeling, and pipeline optimization.
• Advanced English proficiency.
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