Pca Company Services

About the jobWe highly appreciate your interest in this position of HCL Vietnam. After reviewing all applications, only qualified candidates will be contacted for the next steps within 15 days from date of submission. JOB TITLE: Analytics Engineer (Mid level)JOB LOCATION: HCMCABOUT HCL VIETNAM COMPANY LIMITEDHCL Vietnam Company Limited belongs to HCLTech.HCLTech is a global technology company, home to more than 223,400 people across 60 countries,delivering industry-leading capabilities centered around digital, engineering, cloud, and AI, 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 June 2023 totaled $12.8 billion. To learn how we can supercharge progress for you, visit [protected info] Our Vietnam-based offices:• Hanoi Office: Level 13-17, Leadvisors Tower, 643 Pham Van Dong Street, Co Nhue Ward, NorthTu Liem District, Hanoi• HCMC Office: Level 11, Five Star Tower, 28Bis Mac Dinh Chi Street, Da Kao Ward, District 1, HCMC 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.• 18 paid leaves/year (12 annual leaves and 6 personal leaves) • Insurance plan based on full salary + 13th month salary + Performance bonus • Meal allowance of 730,000 VND/month • 100% full salary and benefits as an official employee from the 1st day of working • Medical benefit for employee and family • Working in a fast-paced, flexible, and multinational working environment. Chance to travel onsite (in 53 countries) • Free snacks, refreshment, and parking • Internal training (Technical & Functional & English) • Working time: 8:30 AM - 6:00 PM from Mondays to Fridays