Python Pyspark
2 days ago
Data Engineer
Position Summary
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
**About Virtusa**
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
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