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 valuable 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
·
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