Description

You will build healthcare applications and end-to-end business intelligence solutions within an Agile team.

Responsibilities

• Design and develop ETL pipelines and data warehousing solutions using Databricks and AWS.
• Build and maintain scalable data models and data processing workflows using Apache Spark and Delta Lake.
• Integrate data from relational databases, APIs, and cloud storage into centralized warehouses.
• Develop interactive dashboards and automated reports using Power BI to provide stakeholder insights.
• Implement AWS services including S3 and AWS DMS to support CDC and analytics workloads.
• Ensure data accuracy, security, and compliance with governance policies through RBAC and encryption.

Required Skills

• 5+ years of experience in data engineering roles.
• Strong proficiency in SQL, Python, and PySpark.
• Hands-on experience with Apache Spark and Databricks Delta Lake.
• Expertise in ETL development, data modeling, and data warehousing.
• Experience with AWS services including S3, Lambda, AWS DMS, and API Gateway.
• Proficiency in building and maintaining Power BI dashboards.
• Experience with Terraform for infrastructure management.
• Experience using AzureDevOps for CI/CD pipelines.
• Knowledge of on-prem to AWS data connectivity.

Preferred Skills

• Understanding of machine learning concepts and their application in BI.
• Familiarity with data governance and data quality frameworks.

Key Skills

Education

Any Gradute