The Company

We are one of the fastest-growing companies, a leader in digital transformation, Blockchain, and AI technologies with global clients from the education, healthcare, and manufacturing industries. With aggressive plans to expand into many international markets, we are looking to grow our team!

Responsibilities

• Design and Deliver cloud-native data solutions on AWS across ingestion, storage, processing, orchestration, serving, and monitoring layers.
• Design, develop, and maintain robust ETL/ELT pipelines for multi-layer data ingestion.
• Create and manage scalable feature stores tailored for healthcare analytics.
• Collaborate closely with ML and analytics teams to operationalize ML Workflows.
• Support production data platforms in terms of performance, reliability, and scalability.

Technical Requirements

• 5+ years of proven experience in data engineering, building complex data pipelines and architecture.
• Extensive experience with the Python data ecosystem, specifically Pandas and NumPy.
• Strong proficiency in SQL and relational database management.
• Hands-on experience with cloud infrastructure, particularly AWS data services and serverless architecture.
• Proficiency in Bash scripting and navigating Linux environments.
• A clear understanding of Data Quality, Data Privacy and Data governance.

Good to have

• Previous experience with IoT Data
• Familiarity with privacy preserving architecture and data compliance standards.