Data Engineer- Python Pyspark
Position Summary
The Sr 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
7 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
Senior Data Engineer
Position Summary
The Sr 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
7 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
Key job details
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 is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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