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Data Analytics Engineer Lead
Data Analytics Engineer Lead
HCLTech partners with ANZ Bank which is one of the BIG4 Australia-based banks to build engineering teams for cutting-edge digital transformation projects.
Are you ready to take the role in shaping the future of banking? We are pioneers in revolutionizing the banking experience. As we embark on an ambitious digital transformation journey of our client ANZ Bank – an Australia's top global banks, we are looking for visionary experts/engineers to join a dynamic squad of skilled engineers, shaping the future of banking through cutting-edge technologies.
- Work in hybrid mode
- Be part of a transformational journey that is redefining the banking landscape and driving innovation that impacts millions of users’ financial well-being
- Work in a vibrant, inclusive and diverse environment that values your unique perspectives
- Collaborate with top-tier professionals, learn and grow alongside the best in the industry
- Competitive compensation package including benefits that support your well-being and professional development
Detail Benefits:
- Attractive package including base salary + 13th month salary + Performance Bonus.
- Insurance based on full base salary and Medical Benefit (Bao Viet Insurance Package) for Employee and Family
- 100% of full salary and benefits as an official employee from the 1st day of working
- 100% salary during probation time
- Working in a fast paced, flexible, and multinational working environment with opportunity to travel onsite (in 49 countries)
- Internal Training (Technical & Functional & English)
- Working with outstanding colleagues coming from top universities and top companies in Vietnam and foreign countries
Roles and Responsibilities:
You will help us build the ideal data ecosystem from scratch, ensuring the right data is generated from all applications, sourced at the right velocity with complete depth and breadth to ensure complete coverage and reuse. This is your opportunity to build new, not fix old.
This is a people leadership role (5 to 10 in a team) with technical responsibilities within our Data Enablement value stream.
What you will contribute to:
- Define, model and publish customer and account data products on the data mesh*, enabling data for key use cases like our new mobile apps (iOS and Android), as well as reporting and analytics
- Steer the continuous improvement of data assets and governance processes to enable customers to easily and reliably access the data they need
- Enable and lead a team of Analytics Engineers to be the most creative and best they can be * Data mesh is a modern approach in building data analytics systems. If you want to understand more about what a data product is and what a data product team will do in a data mesh approach, you can study in the following link: https://www.datamesh-architecture.com/data-product-canvas
Experience/Exposure
We are trying to reimagine the way we help and interact with our customers, so we are looking for candidates with creativity, an open mind and a positive energy. Our detailed requirements are as below:
- At least 8 years of experience in total at Data Engineering or at a similar role
- We’re trying to reimagine the way we help and interact with our customers, so we’re looking for creativity, an open mind and energy to take initiative and drive decision-making
- ‘Must-have” experience:
- Experiene with Data warehouse: On-prems (MySQL, SQL Server, Oracle, Teradata, DB2, Databricks, MongoDB, PostgreSQL, etc.) or on Cloud (AWS Redshift, GCP BigQuery, Azure Synapse, etc.)
- Experience with Business Intelligence: Power BI, Tableau, Oracle BI, Looker Studio, QuickSight, SSRS, Qlik, IBM Cognos, SAS
- Experience with ETL tools: SSIS, Informatica, Pentaho Data Integration, InfoSphere/DataStage, Talend, SAS, Oracle Data Integrator, DBT, AWS Glue, Azure Data Factory, GCP DataFlow, etc.
- Expert-level SQL (problem solving, profiling)
- Data modelling experience (Dimensional Modeling, Data Vault)
- Experience in programming language (Python)
- Experience in automating data collection and data analysis
- Experience with Git source control
- Hands-on experience of working with Data projects that have a complete CI/CD system
- Experiece with Unit Test for data (ETL process, data pipeline)
- Experience in building up data analytics solutions with one of these Cloud platforms AWS, Azure, GCP
- Ability to influence both technical and business peers and stakeholders:
- Lead by example – jump ‘on the tools’ when required to support the team
- Good command of English verbal communication
- Good education background of Information Technology (IT) and Computer Science, Software Engineering
- Preferred experience:
- GCP Big Query
- DBT
- Github Actions
- Infrastructure as code (Terraform)
Preferred Qualifications:
- University or College
Required Skills:
- Data Engineer skill (ETL, Data Lake, Data Warehouse, Data Modelling, Python)
- Data Analysis or Business Intelligence skill (SQL, Tableau, PowerBI)
Apply Now
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