Roles and Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL workflows.
• Work with large datasets and ensure efficient data ingestion, transformation, and storage.
• Optimize data architectures for performance, reliability, and scalability.
• Develop and maintain Python-based scripts for automation and data processing.
• Work with relational and NoSQL databases.
• Integrate data from various sources, including APIs, cloud storage, and streaming platforms.
• Monitor data pipelines, troubleshoot performance issues, and ensure data integrity.
• Collaborate with data scientists and analysts to support machine learning and analytics projects.
• Implement data governance, security, and compliance best practices.

Required Skills & Qualifications:

• 3+ years of experience in data engineering.
• Strong proficiency in Python for data processing and automation.
• Experience with ETL frameworks.
• Solid understanding of SQL and NoSQL databases.
• Experience with big data technologies

Please refer to job description.