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




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· Comfortable writing code in either Python, Scala, or Java
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· Good AWS fundamentals knowledge
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Understanding of Solution Development life cycles
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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.
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· Working knowledge in Infrastructure as code frameworks, Ansible/Terraform/ Cloud
formation/Docker/ECS/Kubernetes/Packer
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Responsibilities
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· Collaborative & Persuasive, Self-motivated, Research Oriented, Hands-on, Committed, Always-on learner.
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· High performing and diverse team with an unrivalled culture of innovation
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Prospect to drive change across the project
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📌 Technology Analyst (Databricks Certified Data Engineer) (Melbourne)
🏢 XPT Software Australia Pty
📍 Melbourne