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Job Summary


Job Type
Permanent

Seniority
Senior

Years of Experience
At least 10 years

Tech Stacks
ETL
Strategy
Analytics
Flow
Datastage
Informatica
HortonWorks
Cloudera
Azure
Spark
Scala
Hadoop
Python
AWS
Java

Job Description


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The person also will be responsible for providing key inputs for building standardized engineering frameworks, evaluation and selection of data platforms and tools in alignment with target business outcomes. He/she also need to work with various project teams in MAS to define end to end data flow and selection of fit for purpose platforms & tools.

The role is also expected to understand emerging trends in the data technology space and have good appreciation of key industry players. Understanding of cloud-based data platforms on AWS and Azure will be a plus.

He/she is expected to work with other technology and business partners to create MAS-wide awareness of data and analytics strategy.

Job Requirements

  • 10+ years of experience in big data platform/data warehouse architecture & engineering of which minimum 4 years in big data/Hadoop
  • Prior experience in implementation and operationalisation of data platforms using Cloudera or Hortonworks stack
  • Expert knowledge of Hadoop components, security and deployment architecture
  • Expert knowledge of Spark and at least one of the programming languages such as Java/Scala/Python
  • Prior hands on experience with ETL tools such as Informatica, DataStage
  • Good understanding of emerging technology landscape in big data and analytics
  • Familiarity with industry leading data visualisation and data analytics platform and tools
  • Good appreciation of data security concepts and implementation methods for data encryption, tokenisation, etc
  • Familiarity with cloud-based data platforms on AWS and Azure will be an advantage
  • Familiarity with data governance concepts, operating model and tools will be an advantage
  • Familiarity with software development life cycle methodologies such as Agile, Waterfall
All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.

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