About Infosys
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 prioritise the execution of change. We also empower businesses with agile digital at scale to deliver unprecedented levels of performance and customer satisfaction. Our always‐on learning agenda drives continuous improvement through building and transferring digital skills, expertise, and ideas from our innovative ecosystem.
Role Description
Position: Senior Associate Consultant
Location: Sydney
Salary: AUD 89,430 – 93,540 Annual Gross
Flexible working arrangements (hybrid, reviewed case‐by‐case).
Roles and Responsibilities
* Enhance, optimise, 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 programme 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.
* Ensure effective communication and collaboration across multiple stakeholders and business units of Optus.
* Gain functional knowledge by reviewing the existing code base to better understand the Optus domain.
* Adapt to an agile environment with constant change and diverse challenges in a competitive market.
* Work effectively within tight timeframes.
* Balance the needs of multiple stakeholders across various business initiatives and manage competing priorities to ensure timely resolution.
* Develop sensible alternate solutions, utilising market knowledge while working 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.
* 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 Skills
* Experience working with a team of data engineers across different locations and time zones.
* Excellent communication skills.
* Strong prioritisation abilities.
* Pragmatic stakeholder management.
Additional Skills
* Excellent customer‐facing skills.
* Excellent written and verbal communication skills.
* Strong attention to detail and outstanding analytical and problem‐solving skills.
Benefits
* Income Protection Insurance
* Paid Parental and Volunteer leaves
* Employee Assistance Programme (EAP)
* Flexible working arrangements (hybrid, reviewed case‐by‐case)
* Health Insurance Discount and Well‐being Programme
* Access to Fitness and Gym Memberships
* Salary packaging and novated leasing
EEO Statement
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