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Job details Country: Australia
State / Region / Province: Victoria
Work Location: Melbourne
Domain: Delivery
Company: ITL Australia
Requisition ID: 123624BR
About Us:
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 56 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:
Looking for Technology Lead- Data Engineer (elastic data lake) with 6+ years of total IT experience and at least 3 years of data design experience.
Location: Melbourne, Australia
Salary Range: 101,232- 102,031 AUD (Annual Gross)
Roles and Responsibilities: Work in collaborative teams of Business Analysts and Developers to deliver. Plan, Configure, Deploy and Operate a cloud solution. Deliver Proof of Concepts for new Solutions on Cloud. Lead and deliver high-quality, fit for purpose, enterprise-aligned technology designs for projects and BAU releases using AWS technologies. Establish positive working relationships with specific business customers, technology stakeholders, vendors, and other service providers throughout the SDLC of an assignment or project. Collaborative & Persuasive, Self-motivated, Research Oriented, Hands-on, Committed, Always-on learner. Working knowledge of AWS Cloud Platform. Prior experience working with version control systems (Github), build management, and CI/CD tools like Jenkins. Able to demonstrate experience with software engineering practices including CI/CD, Automated testing, and Performance Engineering. Should have handled structured and unstructured data. Mandatory Skills: Strong in PL/SQL, Unix. Advanced SQL, Shell scripting. Strong ETL, ELT, and data warehousing concepts. Working knowledge of Databricks. 6+ years' experience building and supporting large-scale, business-critical systems on Public Cloud (AWS Cloud Platform). Data Engineer (elastic data lake) with 4+ years of total IT experience and at least 3 years of data design experience. Experience with Redshift, EC2, S3. Preferred Skills: Databricks Certification (preferred)
Additional Skills: Team player - recognize and value different perspectives. Customer focus - understanding the customer, defining the problem, and developing solutions through their eyes. Collaborative Approach - work closely with colleagues to ensure alignment and champion the sharing of learning across teams. Problem solver - use critical thinking, network, skills, knowledge, and available data to drive better outcomes for our customers.
Infosys is an equal opportunity employer and encourages applications from suitably qualified 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 at 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 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." #J-18808-Ljbffr
