Strong understanding of the healthcare insurance domain
Experience leading data engineering teams in Agile environments
Responsibilities
Leads development of data pipelines and architectures for large-scale data sets
Designs, constructs, and tests data architecture to meet business needs
Provides technical leadership for data projects, ensuring best practices
Collaborates with product, finance, and other units to align data pipelines with business requirements
Oversees development of data solutions for predictive and prescriptive analytics
Ensures technical quality of solutions as data moves across environments
Aligns data architecture with Healthfirst solution architecture
Benefits
Opportunity to lead complex data engineering projects
Work in a collaborative environment with cross-functional teams
Engagement in innovative data solutions for the healthcare sector
Access to advanced AWS data services and technologies
Professional growth in a rapidly evolving field
Flexible work arrangements to support work-life balance
Full Job Description
Senior Data Engineer Position Summary: The Senior Data Engineer leads complex data engineering projects, working on designing data architectures that align with business requirements. This role focuses on optimizing data workflows, managing data pipelines, and ensuring the smooth operation of data systems. Minimum Qualifications: • 8+ Years overall IT experience with minimum 5 years of work experience in below tech skills • Tech Skills: • 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. 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.
About Virtusa Corporation
Virtusa Corporation is a global provider of digital business strategy, digital engineering, and information technology (IT) services and solutions. The company helps its clients transform their businesses through innovative technology solutions that enable them to improve customer engagement, increase operational efficiency, and drive revenue growth. Virtusa Corporation was founded in 1996 and is headquartered in Southborough, Massachusetts. The company has over 20,000 employees and operates in over 30 countries around the world. Virtusa Corporation is committed to sustainability and has received numerous awards for its environmental and social responsibility initiatives.
