Senior Associate Consultant: Dna

Details of the offer

About Infosys:
Infosys is a global leader in next-generation digital services and consulting.
We enable clients in more than 50 countries to navigate their digital transformation.
With over four 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.
Visit to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.

Short Description:
We are looking for a professional who is passionate about technology and problem-solving using technology.
Whether it is a simple issue that enables a user to work faster or a solution that improves efficiency/productivity for a big team, it gives immense satisfaction.
The candidate should be a keen learner and keep oneself updated with technological improvements and new technologies.
The candidate should enjoy finding new innovative methods of doing things and believe that change is the only constant.
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.

Role: Senior Associate Consultant
Location: Sydney
Salary: AUD 90,243-98,861 (Annual Gross)
Please Note: The above salary range is only indicative and may be subject to suitable enhancements, based on internal company processes.

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.
Skills and Competencies:
Essential:
Data Analysis SQL Script Analysis to understand the business logic Unix jobs analysis Must have good hands-on experience on writing PySpark, PL/SQL, UNIX Shell scripting, Git & Jenkins, and Airflow.
Exposure to Azure Databricks would be required.
Exposure to Agile Process and working in Scrum teams/Squads.
Experience deploying/managing Data and Data Warehouse solutions.
Preferred:
Knowledge on cloud technologies, ideally Azure.
Has worked in a data operations position for a large Enterprise.
Knowledge of Telecom domain would be a plus.
Additional Skills:
Excellent customer interfacing skills.
Excellent written and verbal communication skills.
Strong attention to detail and outstanding analytical and Problem-solving skills.
Infosys is an equal opportunity employer and encourages applications from suitably qualified and eligible candidates regardless of gender or other attributes covered by equal opportunity legislation.

At Infosys, we recognize that everyone has individual requirements.
If you are a person with a disability, illness, or injury and require adjustments to the recruitment and selection process, please contact our Recruitment team for adjustment only on or include your preferred method of communication in the 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.

"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."
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Nominal Salary: To be agreed

Source: Talent_Dynamic-Ppc

Job Function:

Requirements

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