Job Description

Strong experience in Python Scripting and PySpark for data processing
Proficiency in SQL, dealing with big data processing
Experience in AWS cloud platform and its data services (S3, Redshift, Lambda, EMR, Airflow, Glue)
Expertise in BASH/Shell scripting
Strong understanding of healthcare insurance domain and experience leading data engineering teams
Experience in Agile environments.
Excellent problem-solving skills and attention to detail.
Effective communication and collaboration skills.

Leads development of data pipelines and architectures that handle large-scale data sets.
Designs, constructs, and tests data architecture aligned with business requirements.
Provides technical leadership for data projects, ensuring best practices and high-qualitydata solutions.
Collaborates with product, finance, and other business units to ensure data pipelines meet