Key accountabilities of the role
Databricks Certified Data Engineer Associate with 8-10 Yrs of experience
Must have expert SQL Development experience- minimum 5 Yrs of experience
Must be able to perform Analysis:
·Data Analysis
·SQL Script Analysis to understand the business logic
·Unix jobs analysis
Must have good hands-on experience on writing PL/SQL
Must have good hands-on experience on UNIX Shell scripting
Exposure to Control-M Scheduling.
Exposure to Testing and should be able to efficientlyperform Testing.
Should have experience on Git and Jenkins.
Banking Domain experience (3-5 years)
Experience deploying/managing Data and Data Warehouse solutions.
Experience in understanding and developing data systems in
·Data Engineering technologies (e.g. Spark, Hadoop, Kafka)
·Data Warehousing (e.g. SQL, OLTP/OLAP/DSS)




·Comfortable writing code in either Python, Scala, or Java
·Valuable AWS fundamentals knowledge
Understanding of Solution Development life cycles
Key Challenges of the role :
·Knowledge on cloud technologies, ideally AWS.
Have worked in a data operations position for a large Enterprise.
·Working knowledge in Infrastructure as code frameworks, Ansible/Terraform/ Cloud formation/Docker/ECS/Kubernetes/Packer
Responsibilities
·Collaborative & Persuasive, Self-motivated, Research Oriented, Hands-on, Committed, Always-on learner.
·High performing and diverse team with an unrivalled culture of innovation
Opportunity to drive change across the project

📌 Technology Analyst (Databricks Certified Data Engineer) (Melbourne)
🏢 XPT Software Australia Pty
📍 Melbourne