[HCLTech x ANZ Bank] Data Analytics Engineer (SQL/Python/DBT)

About the job

HCL Vietnam Company Limited belongs to HCLTech which is a global technology company, home to 222,270+ people across 60 countries, delivering industry-leading capabilities centered around digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 30, 2022, totaled $12.1 billion.

Website: https://www.hcltech.com/

At ANZ Plus, our purpose is to shape a world where people and communities thrive. We are making this happen by improving our customers financial wellbeing so they can achieve incredible things be it buying a home, building a business or saving for things big or small. We are looking for people who are passionate about transformational change and to help us redefine banking for the future.

What is your mission

As an Analytics Engineer supporting the Data Enablement stream within ANZ Plus, your mission is to design and build the data products required to support operational pipelines as well as reporting, data science and analytics initiatives to drive business decision-making and innovative customer outcomes for the program.

Your key accountability will be to build and maintain data products in our data mesh through engineering best practices using DBT, Python and BigQuery.

What will your day look like

• Understand user stories supporting a wide array of use cases such as reporting in Tableau, data science or analytics activities, or indeed operational data flows for decisioning and campaign tools
• Design physical data structures in Google Big Query to optimise efficiency, scalability and consistency in a repeatable manner
• Catalogue and document metadata on available data sources and communicate rationale for modelling decisions made
• Work closely with the team to ensure data models align with stakeholder expectations and practical engineering patterns in DBT and Terraform
• Profile incoming source data (batch and real-time event) to deeply understand data, contribute to data integration specifications and help to build robust and future-proof models
• Participate in the continuous improvement of data assets and governance processes to enable customers to easily access the data they need What will you bring

To grow and be successful in this role, you will ideally bring the following:

• Excellent English communication skills
• Excellent SQL, data analysis and data profiling skills
• Proven success designing and/or building BI/DW or ETL solutions, especially using data transformation tools such as DBT or Dataform
• Demonstrated experience with data pipeline orchestration and/or configuration as code Exposure to data in cloud-native environments
• An appreciation for difficult problems and to work autonomously on complex tasks
• The Analytics Engineer role is a midpoint between Data Analyst and Data Engineer; you need to care about the data itself, not just the pipelines, but also be comfortable with engineering practices such as source control, tagging, CI/CD and automated testing using Python.

At ANZ a growth mindset is at the heart of our culture and we actively encourage people to try new things. If this role interests you and you feel you have most of these things in your toolbox, we'd love to hear from you.

BENEFIT

• 18 paid leaves per year (including 12 annual leaves + 6 personal leaves).
• Insurance plan based on full salary + 13th salary + Performance Bonus.
• 100% full salary in probation period.
• Medical Benefit (Personal) and Family based on levels.
• Working in a fast paced, flexible, and multinational working environment. Chance to travel onsite (in 49 countries).
• Internal Training (Technical & Functional). Scope of English Training.
• Working from Mondays to Fridays.

For support and more information, please contact:

Mai Huynh

Phone/Zalo: +84 931583594

Email: [Confidential Information]