Architect of Large-Scale Data Solutions

2 weeks ago


Singapore ITCAN Full time

Data Engineering Expertise

We are seeking a seasoned Senior Network Consultants to lead our data engineering efforts.

As a key member of our team, you will leverage your expertise in architecting, designing, and implementing large-scale Cloudera/Hortonworks Data Platform solutions.

Your strong business acumen and technical skills will enable you to translate business requirements into technical solutions, driving the delivery of high-quality data analytics services.

Responsibilities include:

  • Architecting and implementing large-scale data pipelines for complex data sets
  • Designing and developing scalable and resilient data platforms using Big Data and NoSQL technologies
  • Leading interdisciplinary teams in the delivery of enterprise-level data analytics solutions
  • Developing and maintaining relationships with principal vendors to ensure price guarantees and other enablement benefits
  • Mentoring junior team members to upskill and enhance their data engineering skills

Requirements

We require:

  • More than 2 years of experience in architecting, designing, and implementing large-scale Cloudera/Hortonworks Data Platform solutions
  • At least 5 years of experience leading or managing teams of 5 or more IT professionals
  • Proven track record of implementing large-scale Hadoop clusters with a total volume of over 100TB and daily volume of 5GB or more
  • Certification and experience in implementing 3 or more of the following services in the Hadoop ecosystem: HBase, Apache Kafka, Knife, Spark, Atlas, Ambari/Cloudera Manager, Ranger, Data Flow Studio, or Cloudera Data Science Workbench
  • Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, and Apache Knife

Preferred Qualifications

We welcome applications from candidates with experience in:

  • Data governance and metadata management
  • Large-scale data loading and movement from source systems to new applications or data analytics solutions
  • Cloud-based data analytics platforms such as AWS, Azure, or GCP


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