Data engineer - AWS and Databricks
at Capgemini
Melbourne, Victoria, Australia -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 13 Jun, 2024 | Not Specified | 14 Mar, 2024 | N/A | Working Experience,Scikit Learn,Numpy,Change Data Capture,Information Systems,Github,Strategy,Test Driven Development,Design,Continuous Delivery,Platforms,Shell Scripting,Software,Test Automation,Computer Science,It,Sql,Jenkins,Connectivity,Pandas,Cloud | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
KEY SKILLS/EXPERIENCE:
- Working experience and strong knowledge in Databricks.Knowledge in Cloud Computing – AWS preferably
KNOWLEDGE IN DATA WAREHOUSING (SCD)
- Knowledge in programming and shell scripting eg. Core/Python/Scala/Java
- Knowledge in SQL
- Knowledge with Github and Jenkins;
- Knowledge on change data capture in a big data ecosystem;
- Knowledge building real time or batch ingestion and transformation pipelines;
THE FOLLOWING QUALIFICATIONS WOULD BE ADVANTAGEOUS:
- Education level – Degree in Computer Science, Information Systems or related field
- Databricks Associate certification and AWS certification would be advantageous
- Understanding of Financial Services Industry could be advantageous
LI-AR
Responsibilities:
KEY RESPONSIBILITIES INCLUDE:
- Designing, developing and implementing solutions to customers organisational problems;
- Providing high quality service delivery on engagements;
- Designing and developing data reconciliation & metadata driven data processing frameworks;
ADDITIONAL SKILLS/RESPONSIBILITIES OF THIS ROLE:
- Knowledge on supporting a production service in a DevOps friendly environment;
- Knowledge on working in Agile/Scrum teams;
- Knowledge on API and cloud-native architecture;
- Knowledge on with ‘container’ technology (e.g. Docker, Kubernetes);
- Knowledge on wrangling data using library such as Pandas, Scikit-learn or Numpy;
- Knowledge on using notebook such as Jupyter or Polyglot;
- Knowledge on test-driven development, test automation & continuous delivery
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - System Programming
Software Engineering
Graduate
Computer Science, Information Systems
Proficient
1
Melbourne VIC, Australia