Bigdata

1 day ago

Pune Maharashtra, India Virtusa Full time

6+ 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
Bachelors or masters degree in computer science or related field
Good to have experience on Agile Development
Required Skills: Hadoop, Hive, HDFS, Spark, Python, Unix
Nice to Have Skills: Experience in international and multicultural environment, AML Domain knowledge,

**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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