Description

You will design, build, and lead the data infrastructure supporting analytics and ML initiatives.

This role is on-site.

Responsibilities

• Design, implement, and optimize scalable data architectures for BI, analytics, reporting, and ML.
• Lead the development and management of the data landscape, including data pipelines, data lakes, and data warehouses.
• Develop and execute the overarching data strategy aligned with organizational goals.
• Leverage Python for data engineering tasks, encompassing automation, data processing, and analytics.

Required Skills

• 10+ years of experience in data engineering, data architecture, and reporting.
• Advanced proficiency in Python for data engineering and analytics.
• Proven expertise in designing scalable data architecture, specifically Data Lakes and Data Warehouses.
• Experience with Power BI, including semantic layer and query understanding.
• Familiarity with Mongo for development and troubleshooting.
• Experience with Docker and Kubernetes environments.
• Strong understanding of Data Analytics, machine learning, and statistical modeling.

Key Skills

Education

Any Graduate