Sr. Data Engineer

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes

• Build and manage workflows using Databricks integrated with AWS services

• Optimize SQL queries, data models, and pipeline performance

• Ensure data accuracy and reliability through monitoring and quality checks

• Collaborate with Data Scientists, Analysts, and Product teams

• Implement data governance, security, and compliance best practices

• Evaluate emerging technologies and recommend improvements

• 5+ years of hands-on experience in Data Engineering

• Strong proficiency in SQL (complex queries, optimization)

• Expertise in Python for data processing and automation

• Experience with AWS (S3, Glue, Redshift, Lambda, EMR)

• Hands-on experience with Databricks

• Experience handling clinical datasets / healthcare domain data

• Strong knowledge of ETL frameworks, data warehousing & data modeling

• Experience working with large-scale structured & unstructured data

• Excellent problem-solving and communication skills