Data Enigneer [Australia]


 
About Us:

Infosys is a global leader in next-generation digital services and consulting. We enable clients in 50 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

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Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.

Location: Melbourne

Short Description:
If your passion is to build solutions that really make a difference to enterprises, the community and your world, Infosys is the right place for you. We are looking for a Data Engineer with overall 5 years of industry experience.

Roles and 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.

Mandatory Skills:
  • Databricks Certified Data Engineer Associate
  • Must have expert SQL Development experience (more than 3 years)
  • Must be able to perform Analysis:
o Data Analysis
o SQL Script Analysis to understand the business logic
o Unix jobs analysis
  • Must have good hands-on experience on writing PL/SQL, UNIX Shell scripting , Git & Jenkins and Control-M Scheduling.
  • Exposure to Testing and should be able to efficiently perform Testing.
  • Banking Domain experience (3 years)
  • Experience deploying/managing Data and Data Warehouse solutions .

Good To have Skills:
  • Knowledge on cloud technologies, ideally AWS. Have worked in an data operations position for a large Enterprise.
  • Working knowledge in Infrastructure as code frameworks, Ansible/Terraform/ Cloud formation/Docker/ECS/Kubernetes/Packer
Additional Skills:
  • Excellent customer interfacing skills.
  • Excellent written and verbal communication skills.
  • Strong attention to detail and outstanding analytical and Problem-solving skills.

All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.
At Infosys, we recognize that everyone has individual requirements. If you are a person with disability, illness or injury and require adjustments to the recruitment and selection process, please contact our Recruitment team for adjustment only on Infosys_ta@infosys.com or include your preferred method of communication in email and someone will be in touch.
Please note in order to protect the interest of all parties involved in the recruitment process, Infosys does not accept any unsolicited resumes from third party vendors. In the absence of a signed agreement any submission will be deemed as non-binding and Infosys explicitly reserves the right to pursue and hire the submitted profile. All recruitment activity must be coordinated through the Talent Acquisition department.

Infosys is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.

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