Senior Associate Consultant

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 businesses with agile digital at scale to deliver unprecedented levels of performance and customer satisfaction. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovative ecosystem.
Recognized as the #1 Top Employer in 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
Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.

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: Senior Associate Consultant

• 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.

• 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.

• 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.

• 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