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
Solid experience in Python Scripting and PySpark for data processing
Proficiency in SQL, dealing with big data processing
Proven experience in data processing for data lake in Iceberg format, with
strong understanding of architecture
Experience in AWS Glue jobs
Experience in AWS cloud platform and its data services (S3, Redshift, Lambda,
EMR, Airflow, Postgres, SNS, Event bridge)
Expertise in BASH/Shell scripting
Strong understanding of healthcare Finance systems 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 Job Details
Primary Location
Chennai, Tamil Nadu, India
Job Type
Experienced
Required Experience
5
Skill
Data-AWS Glue with EMR, Spark, Redshift,Kinesis,S3,AWS Native Data Services.
Travel
No
Date Posted
20/07/2026
📌 Data Engineer (India)
🏢 Virtusa
📍 India