Description

• Strong experience in Python Scripting and Spark for data processing
• Proficiency in SQL, dealing with big data processing?
• Experience in AWS cloud platform and its data services (S3, Redshift, Lambda, MR, 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.

Responsibilities

• 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-quality data solutions.
• Collaborates with product, finance, and other business units to ensure data pipelines meet business requirements.
• Oversees development of data solutions that enable predictive and prescriptive analytics.
• Ensures the technical quality of solutions, managing data as it moves across environments.
• Aligns data architecture to Healthfirst solution architecture

Key Skills

Education

Bachelor's degree