Senior Network consultants
Found in: Talent SG C2 - 2 weeks ago
Job Description
:Translate business requirements to technical solutions leveraging strong business acumen.
Lead implementation teams in the delivery of large-scale enterprise Big Data solutions in client data centres and cloud
Work in interdisciplinary teams that combine technical, business and data science competencies that deliver work in waterfall or agile software development lifecycle methodologies
Develop new solutions and accelerators that help to deploy our Data Analytics services at scale
Help develop playbooks, standardized framework, practice guides and other artefacts that will allow our practitioners perform their work in a structured, standard manner
Identify risks, assumptions, and develop pricing estimates for the Data & Analytics solutions
Provide solution oversight to delivery architects and teams
Build and maintain relationships with principle vendors to ensure price guarantees and other enablement benefits
Design and implement relevant data models in Big Data and NoSQL platforms
Architect data pipelines to bring information from source systems, harmonise and cleanse data to support analytics initiatives for core business metrics and performance trends
Work closely with project manager and technical leads to provide regular status reporting and support them to refine issues/problem statements and propose/evaluate relevant analytics solutions
Bring your experience and ideas to effective and innovative engineering, design and strategy
Analyse current business practice, processes, and procedures as well as identifying future business opportunities for leveraging Data & Analytics solutions on various platforms
Develop solution proposals that provide details of project scope, approach, deliverables and project timeline
Develop pricing for the solution proposals
The range of accountability, responsibility and autonomy will depend on your experience and seniority, including:
Contributing to our internal networks and special interest groups
Mentoring to upskill peers and juniors
Essential Requirement:
More than 2 years of experience in architecting, designing and implementing a large-scale Cloudera / Hortonworks Data Platform
Experienced IT professional of more than 5 years leading or managing team sizes of 5 or more
Implemented large scale Hadoop clusters of more than 10 data nodes, total volume in excess of 100TB and daily volume of 5GB or more
Certified, and with working experience in implementing 3 or more of the following services in Hadoop ecosystem:
HBase, Apache Kafka, Knife, Spark
Atlas, Ambari/Cloudera Manager, Ranger
Data Flow Studio or Cloudera Data Science Workbench is a plus
Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Knife necessary to build and maintain complex queries, streaming and real-time data pipelines
Good appreciation and operational experience of infrastructure management and administrative tools and skillsets egg: Linux shells, Apache Ambari, YARN, to build scalable and resilient data platforms
Data modelling and architecting skills including strong foundation in data warehousing concepts, data normalisation, and dimensional data modelling such as OLAP
Nice to have:
Experience with other aspects of data management such as data governance, metadata management, archival, data lifecycle management
Large scale data loading experience moving enterprise or operational data from source systems to new applications or data analytics solutions
Experience in leveraging on cloud-based data analytics platform such as:
AWS serverless architecture in Lambda on AWS DynamoDB, EMR
Azure Data Lake, HDInsight
GCP Big Query/Bigtable, Cloud Data prep/Dataflow/Daturic
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