Data Engineer (ETL DataStage)

Location: Melbourne
Job Type: Contract
Reference: 2933610
Contact: Geraint
Email: email Geraint
As a Data Engineer you will be working in a small team of engineers (6-12 people) developing in the traditional data warehouse for the Analytics and Information Management team. You will take directions from the Lead Delivery Engineer within the team to help develop world class engineering practices and solutions. As an Engineer, you will leverage your engineering expertise to deliver quality outcomes for your customers.
The ideal person for this role is a fast learner and a confident self-starter; naturally curious and passionate about technology, but with varied interests; and an excellent communicator who yearns to develop the software engineering practice to help out other engineers within the area. In addition, code quality should be in the forefront of everything they do.

In a nutshell we need:
  • Someone who can do a bit of everything (if required) - analysis, design, development and testing.
  • Strong SQL skills - ability to understand varying implemented patterns and complicated logic blocks. And then write queries to enhance/modify or analyse further.
  • Someone who is proactive and will challenge/enhance a solution for an epic. And can cut through the noise of the delivery process to understand the expectations the rest of the team will place on them.
  • Someone who can explain a problem in a non-technical manner. I.e. They can illustrate a problem to someone else either verbally, or diagrammatically, without fall back to technical/data detail. This ability also translates to detailing in writing.
  • Someone who can talk to business users, if required, and understand requirements, play them back and confirm or challenge.
  • Someone who can communicate early that they are struggling, need help or are going to miss a deadline for a valid reason. This is a given in the first month.
  • Culturally - co-operative, focused who can manage their work load. They have a personality but not one that is distracting.
Specific skills:
  • Design, develop and document ETL processes using IBM DataStage over MPP warehouse (e.g. Netezza, Teradata)
  • Design and develop ETL using Spark will be advantageous, but not mandatory
  • Determine feasible options to implement database objects, load processes, business rules and complex transformations.
  • Write reusable unit and functional test scripts using SQL queries and data dictionary objects
  • Experienced in data driven testing (i.e. golden sets) in functional testing
  • Contribute to development and testing environment administration and operation
  • Active participation to AIM development Community of Practice (CoP)
  • An eye for detail, and always look for continuous improvements