Description

Build and maintain enterprise-scale data solutions and pipelines. Integrate AI/ML capabilities and onboard new data sources while mentoring technical teams.

This role is on-site.

Responsibilities

• Develop ETL processes using Python and SQL/PostgreSQL for enterprise data integration.
• Architect and support scalable data solutions on cloud platforms including AWS, Azure, and GCP.
• Onboard new data sources and ensure seamless integration with existing systems.
• Collaborate with cross-functional teams to drive data-driven decision-making.
• Mentor technical teams on scalable application development and data engineering best practices.

Required Skills

• 5+ years of experience in data engineering and ETL development.
• Strong proficiency in Python and SQL.
• Hands-on experience with PostgreSQL and cloud platforms (AWS, Azure, or GCP).
• Proven track record of building enterprise-scale data solutions.
• Bachelor's degree in Computer Science or related field.

Preferred Skills

• Experience with GCP/HDFS and healthcare integrations (HL7).
• Background in supply chain environments or AI/ML integration.

Key Skills

Education

Bachelor's degree