Manage and optimize data solutions on cloud platforms such as Azure and AWS.
Implement big data processing workflows using PySpark.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective solutions.
Ensure data quality and integrity through rigorous testing and validation.
Optimize and tune big data solutions for performance and scalability.
Stay updated with the latest industry trends and technologies in big data and cloud computing.
Requirements:
Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
Proven experience as a Big Data Engineer or similar role.
Strong proficiency in Databricks and cloud platforms (Azure/AWS).
Expertise in PySpark and big data processing.
Experience with data modeling, ETL processes, and data warehousing.
Familiarity with cloud services and infrastructure.
Excellent problem-solving skills and attention to detail.
Strong communication and teamwork abilities.
Preferred Qualifications:
Experience with other big data technologies and frameworks.
Knowledge of machine learning frameworks and libraries.
solutions.Design, develop, and maintain data pipelines and ETL processes using Databricks.
Manage and optimize data solutions on cloud platforms such as Azure and AWS.
Implement big data processing workflows using PySpark.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective
Ensure data quality and integrity through rigorous testing and validation.
Optimize and tune big data solutions for performance and scalability.
Stay updated with the latest industry trends and technologies in big data and cloud computing.
Requirements:
Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
Proven experience as a Big Data Engineer or similar role.
Strong proficiency in Databricks and cloud platforms (Azure/AWS).
Expertise in PySpark and big data processing.
Experience with data modeling, ETL processes, and data warehousing.
Familiarity with cloud services and infrastructure.
Excellent problem-solving skills and attention to detail.
Strong communication and teamwork abilities.
Preferred Qualifications:
Experience with other big data technologies and frameworks.
Knowledge of machine learning frameworks and libraries.
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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