Big Data Architect

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Cognizant is hiring Big Data Architect position in Sydney

Summary about this job

Architects

Company: Cognizant Technology Solutions Australia Pty Ltd

Location: Sydney

Work type: Full Time

Salary: n\a

Phone: +61-8-2106-7528

Fax: +61-7-8770-9326

E-mail: n\a

Site:

Detail information about job Big Data Architect. Terms and conditions vacancy

  • Work with Cognizant - one of the world's fastest growing and largest IT company
  • Join a dynamic, diverse and global team
  • Permanent role based in Sydney

About Cognizant

Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 195 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow us @Cognizant

Our Culture

Your passion, integrity and experience are integral to Cognizant's success. You will be welcomed into a dynamic and expanding global leader in IT and Business consultancy where you will be valued for who you are. We take pride in our partnership with our clients, so your ability to add value and provide exceptional service to our clients are fundamental to your success. In return, you will be empowered with opportunities and support to develop your career and collaborate with people focused on innovation and ideas.

Cognizant is hiring Big Data Architect position in Sydney.

Responsibilities: 

  • Will be responsible for designing real time data processing systems using big data stack.
  • Participate in AGILE development process and complete tasks as per Sprint deliverables.
  • Should be able to heap team members on day to day activities
  • Should be able to review the design and provide recommendations for process/performance improvement. 
  • Should be able to review code written by other team members.

Mandatory Skills: 

  • The candidate should have strong technical and design skills to solve complex big data problems including real time data processing systems.
  • Ability to work in a fast paced, dynamic environment, excellent communication skills and ability to interact with all levels of end users and technical resources
  • Experienced with Spark software stack, prior experience in working on Spark and PySpark based Big data implementations is mandatory
  • Should have strong Object Oriented design concepts and should have hands-on experience in coding.
  • Should have strong knowledge and hands-on few of HDFS, Map reduce, Hive, Impala, Tej, Sqoop, Pig, Oozie, HBase, Cassandra, Mongo DB, Kafka, Spark, Storm, Knox, Ranger, Flume, NIFI, Falcon, Kerberos,  Sentry, Cloudera Manager, Cloudera Navigator and Ambari.
  • Experience working with Python or Scala is mandatory.
  • Familiarity with data loading tools like Flume, Sqoop is necessary
  • Should have experience of designing and developing applications involving high volume messages.
  • Should have designed and implemented systems using Lambda and Kappa architectures.
  • Should have experience of working on Kafka and NiFi/Kylo
  • Should have experience of working on real time data processing systems like Storm, Flink or Spark Streaming.
  • Should have experience of Modeling NOSQL data stores and working with NoSQL’s like HBase/Cassandra is needed.
  • Familiarity with Cloud is desirable and knowledge of Machine Learning/Analytics is good to have.
  • Should have understanding of Docker/Kubernetes and DevOps model.

Qualifications & Certifications: 

  • Candidate should have 10-15 years of experience with 3-4 years of hands on experience with Hadoop and Big data technologies
  • Bachelors or Masters in Engineering or equivalent. 
  • Cloudera certified Hadoop Developer or Horton Works certified Spark Developer. 

Next Steps

If you would like to express interest in role, please click on the APPLY button now. Due to a high number of applicants, only shortlisted candidates will be contacted for a further discussion within 3-5 business days. We thank you for taking interest in this opportunity with us. For a complete list of opportunities with Cognizant visit http://www.cognizant.com/careers

Cognizant is committed to providing Equal Employment Opportunities. Successful candidate will be required to undergo a background check.

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