Virtusa
Data Engineer
Job Description
Data Engineer
Position Summary
The Data Engineer is responsible for building and maintaining data pipelines ensuring the smooth operation of data systems and optimizing workflows to meet business requirements This role will support data integration and processing for various applications
Minimum Qualifications
6 Years overall IT experience with minimum 4 years of work experience in below tech skills
Tech Skills
Proficient in Python scripting and PySpark for data processing tasks
Strong SQL capabilities with hands on experience managing big data using ETL tools like Informatica
Experience with the AWS cloud platform and its data services including S3 Redshift Lambda EMR Airflow Postgres SNS and EventBridge
Skilled in BASH Shell scripting
Understanding of data lakehouse architecture particularly with Iceberg format is a plus
Preferred Experience with Kafka and Mulesoft API
Understanding of healthcare data systems is a plus
Experience in Agile methodologies
Strong analytical and problem solving skills
Effective communication and teamwork abilities
Responsibilities
Develop and maintain data pipelines and ETL processes to manage large scale datasets
Collaborate to design test data architectures to align with business needs
Implement and optimize data models for efficient querying and reporting
Assist in the development and maintenance of data quality checks and monitoring processes
Support the creation of data solutions that enable analytical capabilities
Contribute to aligning data architecture with overall organizational solutions
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