Description

You will design and implement large-scale data architectures and cloud-native pipelines.

Responsibilities

• Design and implement data models for OLTP and OLAP databases.
• Build and manage large-scale data fabric within cloud environments.
• Develop cloud-native big data pipelines using Spark or PySpark.
• Manage the full system development life cycle, from requirements and design to testing.
• Utilize vendor ETL tools to manage data integration processes.

Required Skills

• 8+ years of experience in data modeling and design.
• Proficiency in SQL development.
• Expertise in OLTP and OLAP database structures.
• 3+ years of hands-on experience building data fabric in the cloud.
• 4+ years of experience with cloud-native big data pipelines in AWS or Azure.
• Experience with Spark or PySpark.
• 2+ years of experience with vendor ETL tools such as SAP Data Services.
• Solid understanding of systems development life cycle and project management approaches.
• Bachelor's degree or equivalent experience.

Preferred Skills

• Experience with predictive modeling and machine learning.
• Background working in the healthcare industry.

Key Skills

Education

Any Graduate