Data Engineer (DE261)

*Key Responsibilities*

• Design, develop, and maintain scalable data architectures and data models.
• Build and optimize data pipelines for structured and unstructured data.
• Define data standards, governance policies, and best practices.
• Support data warehousing and lakehouse implementations
• Develop, test, and maintain ETL/ELT processes.
• Integrate data from multiple sources (APIs, databases, third-party systems).
• Ensure data accuracy, consistency, and reliability.
• Automate data ingestion and transformation workflows.
• Manage relational and NoSQL databases.
• Optimize database performance and query efficiency.
• Implement indexing, partitioning, and performance tuning strategies.
• Ensure data backup, recovery, and disaster recovery processes.
• Maintain technical documentation for pipelines and systems.
• Create data flow diagrams and architecture documentation.
• Provide regular system performance and health reports.

Requirements: 
 

•  Strong experience in analytics engineering, data engineering, or ML-focused backend roles.
   
• Excellent SQL and Python skills.
   
• Experience building production data pipelines and analytics platforms.
•  Hands-on ML deployment experience (not just notebooks).
   
• Strong system design and product thinking

Work Mode: Remote