• Job Description

  Req#: 48461

  About the role

  Data Engineer – Infrastructure

  • Location: RMZ Ecoworld, Bengaluru

  • Role Type: Permanent, Manager Group 4.4

  Our purpose in the Marketing Analytics Tribe is to enable the Personalisation and Digital Sales Experience tribes with their data science, data engineering and analytics needs, along with servicing the wider enterprise.
  
  As a Data Engineer - Infrastructure in Marketing Analytics, you will be working with other data engineers and data scientists on a new (to ANZ) cloud-ready platform to enable and optimisie machine learning models and analytic workflows. Your experience in building and optimising infrastructure for data science will be essential to help Marketing Analytics uplift their data engineering and data science capability.

  What will your day look like

  • Liaise with data scientists, data analysts to understand requirements

  • Support data engineers by understanding their requirements for ETLs and data management and how to enable them

  • Work collaboratively with stakeholders within and outside of your squad to enable teams, pipelines and workloads and provide guidance to optimise workloads.

  • Support data scientists by optimising the platform to ensure optimal model performance

  • Work with the data capability team to understand the roadmap and help to uplift the platform in line with Marketing Analytics tribe needs

  • Optimise data flows by building robust, fault-tolerant data pipeline that cleans, transforms, and aggregates unorganized and messy data

  • Promote a culture within the Tribe and the Chapter, encouraging best practices around reviews, quality and documentation

  • Consult with data engineers on the optimal data structures for data ingestion, integration and analytics layers on a variety of technologies

  • Contribute to strategy and roadmap for Marketing Analytics to support personalisation

  What will you bring?

  • Have an outcome focused mindset

  • You have some experience in managing infrastructure in cloud environments (AWS/GCP/Azure)

  • Hands-on knowledge and experience on ETL, automated data pipelines and ML models

  • You have used CI/CD pipelines (git, github, bitbucket or similar) and understand how they work and you understand what automation testing is and how to implement it

  • You have experience with Airflow and/or dbt

  • You know how distributed systems can fail

  • Experienced with common design and architectural patterns coupled with a passion for writing clean code that is performant and well tested.

  • You understand the difference between a “data product” and a “data asset”

  • Excellent communication skills and the ability to articulate complex, technical concepts to non-technical audiences.

  • 5+ years' experience in Software Engineering with proficiency in at least one high-level programming language (Python, Java)

  • Hands-on knowledge and experience with tools and techniques for data manipulation and analysis (e.g. SQL)

  • Experience with in at least one high-volume data processing environment (Teradata, Oracle, Cloudera, BigQuery or equivalent)

  • Understanding of big data architectures (data) and communication protocol and scheduling, data management, performance tuning, including cloud scalability.

  • Experience working with of Jira, Confluence or similar

  So, why join us?

  We’re reinventing the way we do banking, and our community of collaborative, innovative thinkers who create human-centred solutions are helping us get there. We’re responding faster to changing customer requirements, focusing on the things that matter. We’ll also offer you the opportunity to develop your career, working in a diverse and inclusive workplace where the different backgrounds, perspectives and life experiences of our people are celebrated and create a great place to grow, thrive and belong.
  
  A happy workplace is a thriving one, and some of the perks you’ll get from being at ANZ are:
  

  • Lifestyle leave - top up your annual leave with up to four weeks of additional purchased leave or take a longer period of unpaid time off

  • Competitive parental leave policies for both mums and dads, with a lump sum childcare contribution when you return to work
    

  We work flexibly at ANZ and encourage you to talk to us about how this role can be flexible for you and any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability, let us know how we can provide you with additional support.
  
  Interested in joining us?
  
  Click Apply Now, or visit www.anz.com/careers to find out more or view other opportunities.

  Job Posting End Date

  21/08/2023 , 11.59pm, (Melbourne Australia)

• About the company

  The Australia and New Zealand Banking Group Limited is an Australian multinational banking and financial services company headquartered in Melbourne, Victoria.

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