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 · Good 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 · Cooperative &

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