Visit to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.Short Description: Looking for Data EngineerFlexible working arrangements (hybrid, reviewed case-by-case basis).
Feel free to contact your recruiter to learn more about how this works in practice.Location: SydneyRoles 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, 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.
Skill / Competencies / Experience:ESSENTIALEducation: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.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.PREFERREDNon 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 InsurancePaid Parental and Volunteer leavesEmployee Assistance Program (EAP)Flexible working arrangements (hybrid, reviewed case-by-case basis)Health Insurance Discount and Well-being ProgramAccess to Fitness and Gym MembershipsSalary packaging and novated leasingOur 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.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 or call 1---.
Alternatively, you can include your preferred method of communication in email, and someone will be in touch.