Description

You will design, build, and manage scalable data architectures for analytics and machine learning initiatives.

This role is on-site.

Responsibilities

• Design and implement data lakes, warehouses, and pipelines to support BI and reporting.
• Develop and execute data strategies aligned with organizational goals.
• Build automation and data processing systems using Python.
• Optimize data landscapes for performance and scalability.
• Provide technical leadership on data engineering and architecture trends.

Required Skills

• 10+ years of experience in data engineering, data architecture, and data science.
• Advanced proficiency in Python for data engineering tasks.
• Proven expertise in designing scalable data architectures.
• Strong understanding of machine learning and statistical modeling.
• Experience with MongoDB for development and troubleshooting.
• Familiarity with Power BI for dashboarding and semantic layer queries.
• Experience with containerization using Docker and Kubernetes.

Key Skills

Education

Any Graduate