Data Engineer
Senior data engineer (8+ years) working on credit risk, collections and hardship data for a banking client in Sydney. Day to day involves building and validating data solutions with SQL, Python, Alteryx, Excel, Power BI and Tableau, with a focus on data quality, lineage and reconciliation across legacy and new data warehouses.
- Compensation
- Not disclosed
- Location
- Sydney, Australia
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 8+ years of experience
- SQL, Python and Alteryx
- Power BI and Tableau
- Excel
- Background in Credit risk / Collections / Hardship business domain
- Strong analytical skills and experience delivering complex data projects with focus on data quality, lineage and reconciliation between legacy and new systems
- Ability to facilitate workshops, requirement gathering and showcases with Business
Nice to have
- Intermediate level on JIRA and Confluence, with agile experience in user story development
- Experience with collections data / credit risk data
- Knowledge of WBC data warehouses (EDW, SGD, GDW and DDEP)
Full description
Data Engg requirements (8+ yrs experience) :
Core skill:
· SQL, Python &
Alteryx
· Power BI &
Tableau tools
· Excel
· Background to
Credit risk / Collections / Hardship business domain
Others:
· Strong analytical
skill and have experience in delivering complex data projects with a strong
focus on data quality, lineage, and reconciliation between legacy and new
systems
· Ability to
facilitate the workshop, requirement gathering and showcase with Business
· Intermediate level
on using JIRA and Confluence tools, have agile experience in user story
development
· Experience on
collection data / credit risk data is desired
· Knowledge on WBC
data warehouses (EDW, SGD, GDW and DDEP) is desired