Engineer Chapter Lead Job Vacancy in ANZ Banking Group Bengaluru, Karnataka – Updated today
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Company Name : ANZ Banking Group
Location : Bengaluru, Karnataka
Position :
Job Description : About the role
As an Engineer Chapter Lead, you will form part of the Enterprise Analytics & Applied AI (EAI) Tech Area within the Enterprise Data and Intelligent Automation Domain. The main focus of our Tech Area is to create a system of people, process and technology (on premise and cloud), built for agility, to provide data and capabilities for our customer facing business areas (including Aus division and Institutional) to create business and customer value.
In this role you’ll be a promoter and ambassador of the new culture and ways of working. As a Chapter Lead, you will bring deep expertise in your Chapter area and develop this expertise and T-shaped capability in your chapter members.
Chapter Leads care for and nurture the growth of their chapter members to ensure they are inspired by a sense of purpose and are continually building their mastery and autonomy. Chapter Leads are not full-time managers, they work as a squad member for 60% of their time and manage people (across squads) for 40% of their time
What will your day look like
Design, build, test and support a secure, robust and scalable Big Data Ecosystem on Cloudera
Solving ambiguous and complex engineering problems
Work collaboratively within and across teams, Tech Areas and Domains
Implements a culture within the Tech Area and the Chapter, encouraging best practices around reviews, quality and documentation
Provide ongoing support for platforms as required e.g. problem and incident management
Help build a great Engineering team by mentoring others and leading by example
Contribute to recruiting and hiring great people and engineers
Provide career advice and guidance to members of your Chapter
Perform performance reviews and coaching
What will you bring?
As an Engineer, you will form part of the Enterprise Analytics & Applied AI Tribe within EDIA Domain.
Ideally you will have a background in Software Engineering along with experience building modern Big Data applications preferably in the Cloudera stack
You place a high emphasis on Software Engineering fundamentals such as code and configuration management, CICD/Automation and automated testing
You will have programming language experience with Java and preferably a secondary language such as Python
You have experience in two or more of the following
Designing and building data pipelines and ETL frameworks both batch and real time
Data management experience
Data Modelling
Data Governance
Data Architecture
Data Quality
Reference and master data
Data integration
Experience working with Big Data Technologies (Hadoop, Spark, NoSQL, Hive, Impala, HDFS), preferably in an Enterprise environment.
Automated CI-CD and testing tools and approaches
Good understanding of Streaming frameworks like Kafka
Good understanding of shell scripting and scheduling tools like Control-M
About ANZ
At ANZ, everything we do boils down to ‘why’ – our purpose – to shape a world where people and communities thrive. We’re just as focused on seeing our people thrive as well as our customers. We’ll 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.
A happy workplace is a thriving one. So in order to attract and keep the best talent, and say thanks for the hard work, we make sure all our employees are rewarded.
ANZ recognises the value of an inclusive and diverse work environment. We take pride in the diversity of our people and encourage applications from diverse candidates. Our recruitment decisions are based on the key inherent needs and requirements of each role, and candidates are selected based on their unique strengths and characteristics.
We work flexibly at ANZ. Talk to us and let us know how this role can be flexible for you.
. You may apply for this role by visiting ANZ Careers and search for reference number 3903.
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