Description

You will design, develop, and maintain scalable data pipelines and automation processes for healthcare databases.

Responsibilities

• Design and implement ETL processes and data workflows using MySQL, PySpark, Python, and Java.
• Build and maintain data integration processes leveraging AWS services including Glue, Athena, Lambda, and S3.
• Write optimized SQL queries for data extraction, transformation, and loading into MySQL.
• Use PySpark and Python for big data processing and manipulation tasks.
• Collaborate with cross-functional teams to translate complex data requirements into scalable solutions.

Required Skills

• 4+ years of experience in data engineering.
• Intermediate proficiency in MySQL, PySpark, Python, and Java.
• Hands-on experience with AWS Glue and AWS Athena.
• Experience with AWS S3 and AWS Lambda.
• Working knowledge of AWS QuickSight, SNS, SES, CloudWatch, and Event Bridge.
• Ability to develop and enhance data engineering solutions using Java.
• Any graduate degree.

Key Skills

Education

ANY GRADUATE