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Program Delivery - Agile Teams / Tech Data Engineer - NV2 at XPT Software Australia

Remote: 
Full Remote
Contract: 
Experience: 
Expert & Leadership (>10 years)
Work from: 

Offer summary

Qualifications:

Experience in agile program delivery, Strong background in data engineering, Proficiency in Python and SQL, Familiarity with Apache Spark, AWS, Azure.

Key responsabilities:

  • Participate in Agile ceremonies for project management
  • Design and maintain data pipelines and ETL processes
  • Collaborate to gather requirements and specifications
  • Implement data validation and monitor data quality
  • Create and maintain documentation for data processes
XPT Software Australia logo
XPT Software Australia SME https://xptsoftware.com.au/
51 - 200 Employees

Job description

This is a remote position.

We are seeking a skilled Tech Data Engineer to join our Agile teams in delivering high-quality data solutions. The ideal candidate will have experience in program delivery within agile environments and a strong technical background in data engineering. You will collaborate closely with cross-functional teams to design, develop, and implement data-driven solutions that enhance our business capabilities.

Key Responsibilities:

  • Agile Project Management: Participate in Agile ceremonies (sprints, stand-ups, retrospectives) to ensure timely delivery of data solutions.
  • Data Engineering: Design, build, and maintain robust data pipelines and ETL processes to support analytics and business intelligence initiatives.
  • Collaboration: Work closely with product owners, data analysts, and other stakeholders to gather requirements and translate them into technical specifications.
  • Data Quality Assurance: Implement data validation processes and monitor data quality to ensure accuracy and reliability.
  • Technical Expertise: Utilize programming languages (e.g., Python, SQL) and tools (e.g., Apache Spark, AWS, Azure) to manipulate and analyze large datasets.
  • Documentation: Create and maintain comprehensive documentation for data architectures, processes, and workflows.
  • Continuous Improvement: Identify opportunities for process enhancements and contribute to the evolution of our data engineering practices.

 



Required profile

Experience

Level of experience: Expert & Leadership (>10 years)
Spoken language(s):
Check out the description to know which languages are mandatory.

Other Skills

  • Technical Acumen
  • Collaboration

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