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

· Positive AWS fundamentals knowledge

Understanding of Solution Development life cycles

Key Challenges of the role :

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· 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