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5+ years of hands-on experience in designing, building and supporting Data Applications using Spark, Sqoop and Hive
Strong knowledge of working with large data sets and high-capacity big data processing platform
Strong experience in Unix and Shell scripting
Advanced knowledge of the Hadoop ecosystem and its components
In-depth knowledge of Hive, Shell scripting, Python, Spark
Ability to write MapReduce jobs
Experience using Job Schedulers like Autosys
Hands on experience in HiveQL
Good knowledge on Hadoop Architecture and HDFS
Strong knowledge of working with large data sets and high-capacity big data processing platform
Strong experience in Unix and Shell scripting
Experience with jenkins for Continuous Integration
Experience using Source Code and Version Control Systems like Bitbucket, Git
Good to have experience on Agile Development
Responsibilities: Develop components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained
Ensures solutions are well designed with maintainability/ease of integration and testing built-in from the outset
Participates and guides team in estimating work necessary to realize a story/requirement through the software delivery lifecycle
Responsible for developing and delivering complex software requirements to accomplish business goals
Ensures that software is developed to meet functional, non-functional, and compliance requirements
Codes solutions, Unit testing and ensure the solution can be integrated successfully into the overall application/system with clear robust, and well-tested interfaces
Required Skills: Hadoop, Hive, HDFS, Spark, Python, Unix
Nice to have skills: AML Domain knowledge
Job Description:
5+ years of hands-on experience in designing, building and supporting Big Data Applications using Spark, Sqoop and Hive
Strong knowledge of working with large data sets and high-capacity big data processing platform
Strong experience in Unix and Shell scripting
Advanced knowledge of the Hadoop ecosystem and its components
In-depth knowledge of Hive, Shell scripting, Python, Spark
Ability to write MapReduce jobs
Experience using Job Schedulers like Autosys
Hands on experience in HiveQL
Good knowledge on Hadoop Architecture and HDFS
Strong knowledge of working with large data sets and high-capacity big data processing platform
Strong experience in Unix and Shell scripting
Experience with jenkins for Continuous Integration
Experience using Source Code and Version Control Systems like Bitbucket, Git
Good to have experience on Agile Development
Responsibilities: Develop components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained
Ensures solutions are well designed with maintainability/ease of integration and testing built-in from the outset
Participates and guides team in estimating work necessary to realize a story/requirement through the software delivery lifecycle
Responsible for developing and delivering complex software requirements to accomplish business goals
Ensures that software is developed to meet functional, non-functional, and compliance requirements
Codes solutions, Unit testing and ensure the solution can be integrated successfully into the overall application/system with clear robust, and well-tested interfaces
Required Skills: Hadoop, Hive, HDFS, Spark, Python, Unix
Nice to have skills: AML Domain knowledge
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 36,000 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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