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Big Data Graduate Programme: Unlocking Business Potential

2 months ago

Melbourne, Victoria, Australia BIG O TIRES - BOISE Full time
About Us

At BIG O TIRES - BOISE, we're a leading provider of innovative data analytics solutions. Our mission is to empower businesses to make informed decisions and drive growth. We're passionate about harnessing the power of data to create a better world.

Job Description

We're seeking a talented Data Science and Engineering Graduate to join our team. As a key member of our team, you'll have the opportunity to work on exciting projects, collaborating with our experienced professionals to deliver cutting-edge solutions.

Key Responsibilities
  • Develop and implement data-driven solutions using advanced analytics techniques
  • Work closely with cross-functional teams to design and deliver data engineering projects
  • Contribute to the development of our data science and engineering capabilities
  • Collaborate with stakeholders to understand business needs and deliver tailored solutions
Requirements
  • Graduate degree in a numerate discipline (e.g., Mathematics, Physics, Computer Science, IT/Technology)
  • Strong problem-solving skills and enthusiasm for learning and coding in Scala
  • Experience with data science and engineering tools and technologies (e.g., Spark, Hadoop, Hive, Kubernetes)
  • Excellent communication and collaboration skills
  • Passion for data and analytics, with a desire to learn and grow in a dynamic environment
What We Offer
  • Competitive salary and benefits package
  • Opportunities for professional growth and development
  • Collaborative and dynamic work environment
  • Access to cutting-edge technologies and tools
  • Recognition and rewards for outstanding performance
Why Join Us

At BIG O TIRES - BOISE, we're committed to creating a diverse and inclusive work environment. We believe in empowering our employees to reach their full potential and contribute to our mission of making data easier and driving business growth. If you're passionate about data science and engineering, and want to be part of a dynamic team, we encourage you to apply for this exciting opportunity.