12 month engagement + extensions
ACT, NSW or VIC
Ability to obtain a security clearance
Candidate must be an Australian citizen
Key Duties and Responsibilities
Own the technical implementation of new data from analysis to delivery (designing and delivering data dictionary, defining the release steps, defining best practices of data modelling and review steps).
Facilitate continuous improvement measures in delivery principles, coding standards, documentation and provide training sessions to the team.
Prioritise work items and add them to a work queue.
Understand, analyse and size user requirements.
Development and maintenance of SQL analytical and ETL code.
Optimisation and tuning of SQL code to ensure optimal performance.
Development and maintenance of system documentation.
Work within a state of the art, greenfield devops environment.
Collaboration with data consumers, database development, testers and IT support teams.
Essential criteria
Proficiency in AWS services related to data engineering: AWS Glue, S3, Lambda, Redshift, Athena, Kinesis, EMR, and Step Functions, Cloud Formation or Terraform
Data pipeline design and development using ETL/ELT frameworks
Ability to understand DevOps process and can use DevOps tools in accordance with the process.
Proficiency in programming languages: Python (preferred), Java, or Scala
Strong SQL skills for data manipulation and analysis
Hands-on experience in cloud-based data architecture and deployments and working with Containerized environments (Docker,ECS,EKS)
Desirable criteria
Teradata/Snowflake/Redshift/Databricks: Demonstrated Competency in Developing, Auditioning and reviewing code. Any 2 Technologies.
Strong EDW Design Concepts, ETL, ELT Knowledge.
Exposure to at least one ETL tool like DBT, Talend, Informatica etc.
SAS Base Programming
How to apply:
Please hit the apply button or for more information contact Anne from Randstad Digital on 02 6243 6404.
At Randstad Digital, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.
experience
3 years
skills
Data Engineering
qualifications
Data Engineering
education
Secondary School/High School