Technology Analyst

Infosys Limited; Sydney; Hybrid; AUD 86,000 - 90,000; Full time

Benefits offered by this job

Income Protection Insurance

Paid Parental and Volunteer leaves

Employee Assistance Program (EAP)

Flexible working arrangements (hybrid)

Health Insurance Discount and Well‑be‑

Job summary

Infosys Limited in Sydney is seeking a Technology Analyst to transform data landscapes and deliver scalable data engineering solutions. You will design, build, and optimize data pipelines, collaborating with product owners and analytics teams to improve data availability and insights.

The role requires 4–5 years in data engineering, strong SQL and Python skills, and experience with Azure Databricks, Airflow, and data warehousing.

Qualifications

• 4–5 years of Data Engineering and Data Warehousing experience.
• Strong SQL and Python with data science knowledge.
• Experience with Azure and Databricks cloud data warehouses.

Responsibilities

• Enhance, optimize, and maintain data ingestion, transformation, and extraction pipelines for reporting and analytics on the Unified Data platform.
• Collaborate with Product Owner and Chapter Lead to understand priorities and gather requirements from initiative owners.
• Perform data wrangling, profiling, and analysis for new datasets from source systems and existing datasets.
• Coordinate with teams for planning, governance, engineering, and release management to ensure timely delivery.
• Build new data assets and pipelines for downstream requirements (e.g., Tableau vs. TM1 cubes).
• Document low-level design, mapping, test cases, release plans, and support manuals.
• Schedule data pipelines using Control-M and Airflow with SLA compliance.
• Provide warranty support to Operations post-production and update docs.
• Collaborate with multiple business and IT teams to deliver outcomes.
• Ensure effective communication across stakeholders and business units.
• Gain knowledge by reviewing code to understand the Optus domain.
• Adapt to an agile environment with changing challenges and tight timeframes.
• Balance competing priorities to ensure timely resolution.
• Develop sensible alternate solutions using market knowledge.

Skills

SQL

Python

Data profiling

Azure

Databricks

Airflow

Control-M

Spark

Hive

CI/CD

Jenkins

Nexus

HDFS

HBase

Education

Bachelor/Master/PhD in CS/Math

Tools

Azure

Databricks

Airflow

Control-M

Spark

Hive

Impala

Hue

HDFS

HBase

Bitbucket/GitHub

Jenkins

Nexus

Job description

About Us:
Infosys is a global leader in next-generation digital services and consulting. Over 320,000 of our people work to amplify human potential and create the next opportunity for people, businesses and communities. We enable clients in 59 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.
Recognized as the #1 Top Employerin Australia for the second year in a row, Infosys offers a workplace where careers grow with purpose. As an AI‑first organization, we empower our people to work on next‑generation technologies, continuously learn, and create impact at scale—supported by a culture rooted in care, inclusion, and excellence.
Join Infosys and be part of a culture that’s not just promised—it’s certified. #TopEmployer2026 #ThriveAtInfosys

Role 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 me immense satisfaction. The candidate should be a keen learner and should 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: Technology Analyst
Location: Sydney
Salary: AUD $ 89,430-$86,020 Annual Gross
Please Note: - The above salary range is only indicative and maybe subject to suitable enhancements, based on internal company processes
Flexible working arrangements (hybrid, reviewed case-by-case basis). Feel free to connect with your recruiter to learn more about how this works in practice.

Roles and Responsibilities:

• Enhance, optimize, and maintain existing data ingestion, transformation, and extraction pipelines and assets built for reporting and analytics on the Unified Data platform.
• Work with the Product Owner and Chapter Lead to understand quarterly priorities and OKRs, Data Science Machine Learning and gather detailed requirements from initiative owners or program sponsors based on planned Epics.
• Perform data wrangling, profiling, and analysis for new datasets ingested from source systems and those derived from existing datasets using on-premises and cloud-native tools.
• Coordinate with other teams for planning, design, governance, engineering, and release management to ensure timely and accurate delivery of data and services.
• Build new data assets and pipelines tailored to downstream requirements (e.g., datasets for Tableau vs. TM1 cubes).
• Document low-level design, source-to-column mapping, test cases, production release implementation plans, and operational support manuals.
• Schedule data pipelines using tools like Control M and Airflow, ensuring correct upstream dependencies and SLA compliance.
• Provide warranty support to Operations post-production release and update documentation accordingly.
• Collaborate with multiple business and IT teams to deliver the final outcome.
• Ensuring effective communication and collaboration across multiple stakeholders and business units of Optus.
• Gaining functional knowledge by reviewing the existing code base to better understand the Optus domain.
• Adapting to an agile environment with constant change and diverse challenges in a competitive market.
• Working effectively within tight timeframes.
• Balancing the needs of multiple stakeholders across various business initiatives and managing competing priorities to ensure timely resolution.
• The ability to develop sensible alternate solutions, utilising your market knowledge whilst working both quickly and accurately to meet short deadlines and manage competing priorities.

Education:

• Bachelor’s, Master’s, or Doctorate degree in Mathematics, Statistics, Computer Science, or Information Management.

Work Experience:

• 4–5 years of experience in Data Engineering and Data Warehousing.

Technical Skills:

• Hands-on experience with advanced SQL and Python and knowledge of Data Science [Machine Learning].
• Proficient in data profiling.
• Experience working with cloud platforms like Azure and cloud data warehouses such as Databricks.
• Skilled in scheduling tools like Airflow and Control M.
• Knowledgeable in Big Data tools such as Spark (Python/Scala), Hive, Impala, Hue, and storage systems like HDFS and HBase.
• Familiar with CI/CD processes including BitBucket/GitHub, Jenkins, and Nexus.
• Capable of managing both structured and unstructured data types.

Preferred:

• Non Technical skills: Experience working with a team of data engineers across different locations and time zones.
• Excellent communication skills.
• Strong prioritization abilities.
• Pragmatic stakeholder management.

ADDITIONAL:

• Excellent customer-facing skills
• Excellent written and verbal communication skills
• Strong attention to detail and outstanding analytical and problem-solving skills.
• Proficient in Excel, Word, and PowerPoint.
• Ability to prioritise and manage to multiple concurrent activities

In addition to compensation aligned with your role, you’ll have access to a wide range of benefits that support your health, career growth, and overall well-being (AU)

• Income Protection Insurance
• Paid Parental and Volunteer leaves
• Employee Assistance Program (EAP)
• Flexible working arrangements (hybrid, reviewed case-by-case basis)
• Health Insurance Discount and Well-being Program
• Access to Fitness and Gym Memberships
• Salary packaging and novated leasing

Our recruitment and selection process is designed to create the best match for both you and Infosys. Depending on the role, it may include an initial screening, technical or functional interviews, and conversations focused on cultural alignment and shared values. We are committed to making the experience transparent, respectful, and engaging at every step.

Hear from our recruiter on their experience working with Infosys as an 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 either via the following email [e-mail] or call 1-866-472-0935. Alternatively, you can 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.

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.