Lead Data Engineer (HCL x ANZ Bank) - Attractive Salary

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 help us redefine banking for the future.
Be a part of building the ideal data ecosystem from scratch. Ensuring the right data is generated from all applications and sourced at the right velocity with the complete depth and breadth to ensure complete coverage and reuse. This is your opportunity to build new, not fix old.  
What will your day look like?

Analyze systems that will be used to build brand new Machine Learning models  
Influence our Cloud provider’s product roadmaps to ensure they meet our needs  
Operate Marketing Tech systems to provide personalized real- time in- context service and marketing messages to customers that are relevant, useful and sensitive  
Define, create and publish the data architecture standards for all applications and infrastructure across the portfolio
This is a people leadership role (up to 5 members in a team squad) with broad responsibilities across many aspects of our data enablement value stream.  
Enable and lead a team of Data Engineers to be the most creative and the best they can be  
Create operational data solutions that will power our new mobile apps (iOS and Android)  

Yêu cầu công việc

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:

Strong Cloud- based Data Engineering experience in one of the following Clouds (AWS/Azure/GCP); we mainly use GCP but we are open to your Cloud experience (with at least 2 years of working on Cloud)
At least 8 years of experience in total at Data Engineering or at a similar role

- As Lead AWS Cloud Data Engineer: You must be strong at AWS technologies as the followings: data pipeline (Lake Formation, MWAA, EMR, S3, Glue and Athena); Data Warehousing technologies (AWS Redshift)
- As Lead Azure Cloud Data Engineer: You must be strong at Azure Data Lake Storage, Azure Databricks and Azure Data Factory, Synapse, etc.
- As Lead GCP Cloud Data Engineer: You must be strong at General Infrastructure and Services and particular data services such as Big Query, Dataflow, Airflow, Cloud Function, etc.

Experience with Advanced SQL and Python skills
Proven successful design and implementation of large and complex data solutions (Data Warehouse, Data Lake) using various architectural patterns such as Microservices  
Experience with DataOps or using DevOps while working on Cloud data platforms like using Terraform for Infrastructure as Code (IaC), GitOps or using Docker, Kubernetes
Leadership experience in engineering teams, not just their technical skills but also their careers and ambitions since you are passionate and empathetic. For example – jump on the tools when required to support the team  
Good command of English verbal communication
If you have work experience with Marketing domains, you will be preferred
Ability to influence both technical and business peers and stakeholders  

100% full salary and benefits as an official employee from the 1st day of working
Free snacks, refreshment, and parking
Medical benefit for employee and family
Attractive package including 13th month salary + Performance bonus
18 paid leaves/year (12 annual leaves and 6 personal leaves)
Internal training (Technical & Functional & English)
Insurance plan based on full salary
Working in a fast- paced, flexible, and multinational working environment. Chance to travel onsite (in 60 countries)
Hybrid working mode (3 working days at office, flexible time)
Salary: Negotiable
Working time: 08:30 AM- 06:00 PM from Mondays to Fridays (meal breaks included)

Cập nhật gần nhất lúc: 2023-11-23 12:30:28