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You're a perfect match if you have:
* 3+ years experience with data engineering in enterprise environments
* Strong proficiency in Python and SQL for data processing and transformation
* Experience with ETL/ELT tools and data integration patterns
* Knowledge of enterprise data standards and APIs (REST, GraphQL, SOAP)
* Understanding of data privacy, security, and access control best practices
* Experience with cloud platforms (AWS, Azure, GCP) and data infrastructure
* Familiarity with containerization and orchestration tools
* Bachelor's degree in Computer Science, Engineering, Data Science, or related field
Your day-to-day activities:
* Design and build data pipelines that integrate diverse enterprise data sources for AI processing
* Develop connectors and adapters for enterprise systems (CRM, ERP, document management, databases)
* Implement data quality frameworks and validation systems for AI model inputs
* Create secure data handling workflows that support global development teams
* Build data transformation pipelines that prepare unstructured and structured data for AI models
* Establish data governance and lineage tracking for compliance and audit requirements
* Optimize data processing workflows for scale and performance
* Collaborate with data scientists and AI engineers to ensure data meets model requirements
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Want to put your job search on autopilot? Join our platform, complete a 6-minute AI screening interview, and get auto-applied to 100s of high-paying roles.
Sign up now at and let the opportunities come to you.