Working for this technology solutions company as a Data Engineer you will be part of a technical team making sure new developments meet high-quality standards.
This role demands a strong technical background with exceptional analytical skills. You will be a motivated individual who understands and enjoys the DevOps way of life and has experience with Data Engineering technologies.
Key activities
Develop, customise and manage integration tools, databases, warehouses, and analytical systems with the use of data related instruments/instance
Develop of end-to-end data pipelines
Deploy ETL pipelines to production environments in cloud (AWS)
Implement and design the architect of various ETL pipelines
Test, monitor, and maintenance of existing pipelines
Work closely with the business and technical teams to solve their problems and take the ownership of developing, deploying, and supporting the solutions
Monitor the overall performance and stability of the system. Adjust and adapt the automated pipeline as data/models/requirements change
Make improvement and process recommendations that have an impact on the business
Skills, Knowledge And Experience
Proven experience in a similar role with technology driven organisations
Data Engineering experience (Hadoop, Airflow, Oozie, Pentaho)
Scripting Knowledge (Python, Scala, PowerShell, Linux Shell scripting, Splunk)
Database experience (SQL and NoSQL databases)
Experience in Risk Management and applying risk mindset in day-to-day activities
Strong understanding of cloud computing principles and services, with proficiency in AWS
Experience working in distributed teams
Hands on technical person able to triage defects across environment, integration & code
Ability to work with different project teams (across environment, integration & development) and bring cohesiveness across the teams to focus on diagnosing defects
Excellent communication and collaboration skills
Apply now to secure an interview or contact Dylan tasker on 9236 7756 for a confidential discussion