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Big Data Hadoop Adminstrator

Location China, Japan
Posted 23-January-2019
Description
Engineer, Big Data Platform - Data Ecosystem and Advanced Analytics


First a bit about ANZ

At ANZ, everything we do boils down to whyour purposeto shape a world where people and communities thrive. Were just as focused on seeing our people thrive as well as our customers. Well give you every opportunity to develop your career.

We are responding faster to changing customer requirements, focusing on the things that matter the most, energising our people, eliminating waste and reducing bureaucracy.

ANZ has started to move to a new way of working, leveraging agile practices. To understand more about this new way of working and if this role is right for you, we strongly encourage you to take a look at The ANZ Way vimeo channel where youll find The ANZ Way animation and the New Ways of Working animation.


At ANZ we aim to create an inclusive environment where employee differences such as gender, age, culture, disability, sexual orientation, family and caring responsibilities and religion are valued.


Data Services

The Data Services Domain deliver enterprise solutions that makes the right data accessible to our people and customers through tools and channels to drive faster and more informed decision making, removing friction and ultimately delivering a world class customer experience.


Data Ecosystem and Advanced Analytics

As part of the Data Services Domain our mission is to create the next generation ANZ Data Ecosystem, unlocking the untapped power of ANZs rich data assets through advanced analytics and insights.


As Big Data Platform Engineer you will be a key member of the Technical Team in the Project Delivery function of Hadoop Delivery Support; Design, Build and implement and support robust Cloudera Hadoop Big Data platforms for customers.

You will provide appropriate guidance and mentoring, build knowledge repository and share best practices with other Cloudera Hadoop resources/peers in the Domain


What does a day in the life look like

Make preliminary assessments and recommends solutions in line with customers requirements.

Installation and configuration of Cloudera/Hadoop platform.

Manage, maintain and Support the Cloudera/Hadoop platform

Availability

Scalability

Security

Perform capacity management monitoring and activities

Perform on-boarding activities for new projects to the Big Data Platform:

New workspaces

User Access

Understands IT Service Delivery standards, policies, procedures and Service Level Agreements, and contributes to meeting these.

Undertakes first and second level support duties Cloudera/Hadoop Platform

Responsible for problem solving and troubleshooting of technical issues.

Assists in the implementation of new systems.

Provides support in work requests.

Prepare design Documents and other artefacts as and when required by the Project


Customer

Communicates with Business Unit teams and participates in customer meetings to identify and understand customers business needs and requirements.

On-the-job experience troubleshooting enterprise customer issues


Process

Successful implementation of major/minor changes into production and adherence to change management processes

Contributes to improvement initiatives to internal processes and work practices.


People

Provide Hadoop Delivery Support team with a Subject Matter Expert, giving in depth technical assistance whilst forming a learning environment

Engage with fellow team members and work cooperatively in the team

A positive attitude towards feedback and continual improvement


What will be in your toolkit


Minimum 2 years experience as a Big Data (Hadoop) administrator, with understanding of the hardware ecosystem and Cloudera Hadoop Architecture

Cloudera CDH upgrade and patch upgrade knowledge and experience

Cloudera Admin Certification preferred

Minimum 2 years experience on Unix/Linux with administration, file system and permission model experience.

Knowledge of relational database management systems (RDBMS), SQL and database concepts

Experience in data warehousing concepts, filesystems and data structures.

Excellent troubleshooting skills, with experience in debuggers stack traces memory dumps, tcpdumps etc.

Understanding of networking and distributed systems.


Visit our ANZ Life page for more information on how we work at ANZ


Weve also got some great information about what its like to work in Engineering@ANZ on our LinkedIn Life page


We work flexibly at ANZ. Talk to us and let us know how this role can be flexible for you.
Experience
Min 2 to 5 Years.

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Awards & Accolades for MyTechLogy
Winner of
REDHERRING
Top 100 Asia
Finalist at SiTF Awards 2014 under the category Best Social & Community Product
Finalist at HR Vendor of the Year 2015 Awards under the category Best Learning Management System
Finalist at HR Vendor of the Year 2015 Awards under the category Best Talent Management Software
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