Description

You will design, build, and deploy data systems, pipelines, and applications.

This role is on-site.

Responsibilities

• Define and establish data pipelines to produce reliable feature sets for analytics and reporting.
• Ingest and process data from diverse sources, including relational databases, text, and CSV formats.
• Set up and manage database connections across cloud and on-premises environments.
• Collaborate with stakeholders on problem scoping, infrastructure provisioning, execution, deployment, and maintenance.

Required Skills

• 5+ years of experience in data engineering.
• Hands-on proficiency with PySpark, Python, and Scala.
• Experience working with AWS, Data Lake, and Databricks.
• Proficiency with EMR and AWS data orchestration tools.
• Strong knowledge of data modeling and ETL processes.
• Ability to ingest and process both structured and unstructured data.
• Experience managing database connections across hybrid environments.

Preferred Skills

• Experience within the Healthcare domain.

Key Skills

Education

Any Graduate