Data Engineer

Posted 13 Days Ago
Be an Early Applicant
Melbourne, Victoria, AUS
In-Office
Senior level
Information Technology • Software • Consulting
The Role
Develop and analyze enterprise data systems and data warehouse solutions in a banking environment. Responsibilities include expert SQL and PL/SQL development, data and SQL script analysis, Unix shell scripting, testing, scheduling with Control-M, CI/CD using Git and Jenkins, and deployment or management of data platforms. The role requires experience with Spark, Hadoop, Kafka, cloud technologies, AWS, programming in Python, Scala, or Java, and infrastructure-as-code and containerization tools.
Summary Generated by Built In

Detailed Job Description:

Role : Consultant  / Technology Analyst
Data bricks Certified Data Engineer Associate with 6-8 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 efficiently perform 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

·         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

Minimum Years of Experience : 6-8 Years



Skills Required

  • Databricks Certified Data Engineer Associate certification
  • 6-8 years of professional experience
  • At least 5 years of expert SQL development experience
  • Data analysis and SQL script analysis experience
  • Unix jobs analysis experience
  • Hands-on PL/SQL development experience
  • Hands-on Unix shell scripting experience
  • Experience with Control-M scheduling
  • Experience performing software testing
  • Experience with Git and Jenkins
  • 3-5 years of banking domain experience
  • Experience deploying and managing data and data warehouse solutions
  • Experience with data engineering technologies such as Spark, Hadoop, and Kafka
  • Experience with data warehousing technologies including SQL, OLTP, OLAP, or DSS
  • Programming experience in Python, Scala, or Java
  • Good AWS fundamentals knowledge
  • Understanding of solution development life cycles
  • Experience in data operations for a large enterprise
  • Working knowledge of infrastructure-as-code and platform frameworks including Ansible, Terraform, CloudFormation, Docker, ECS, Kubernetes, or Packer
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The Company
120 Employees
Year Founded: 2016

What We Do

XPT Software Australia Pty Ltd is a technology consulting and software services company serving clients across banking, financial services and insurance, telecommunications, mining, retail, energy, and manufacturing. It provides software development, IT management consulting, business analysis, project and program management, infrastructure support, and offshore development through onsite-offshore delivery. The company also works with cloud computing, big data, mobile applications, UI/UX, algorithms, and IoT.

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