Data Engineer

Infosys

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profile Job Location:

Sydney - Australia

profile Monthly Salary: Not Disclosed
Posted on: 5 hours ago
Vacancies: 1 Vacancy

Job Summary

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.


Visitto see how Infosys (NYSE: INFY) can help your enterprise navigate your next.
Short Description: Looking for Data Engineer

Flexible working arrangements (hybrid reviewed case-by-case basis). Feel free to contact your recruiter to learn more about how this works in practice.

Location: Sydney

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 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:


ESSENTIAL
  • Education:
    • Bachelors Masters or Doctorate degree in Mathematics Statistics Computer Science or Information Management.
  • Work Experience:
    • 45 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
  • 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 youll 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

Ourrecruitment and selection processis 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 or call 1-. Alternatively you can include your preferred method of communication in email and someone will be in touch.



Required Experience:

IC

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...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

About Company

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Welcome to Infosys Careers for Experienced Professionals As a leading provider of next-generation consulting, technology and outsourcing solutions, we are dedicated to helping organizations in over 46 countries to renew their core and simultaneously innovate into new frontiers. Whilst ... View more

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