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    • In this role, you will work closely with experienced engineers and cross-functional teams to support the development,…
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    • Morning shifts (some as early as 9am) Lunchtime shifts (from 11am).
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    • Driving safely at all times.
  • View similar jobs with this employer
    • Morning shifts (some as early as 9am) Lunchtime shifts (from 11am).
    • Evening shifts (dinner and late evening times from 5 pm).
    • Driving safely at all times.
  • View similar jobs with this employer
    • Morning shifts (some as early as 9am) Lunchtime shifts (from 11am).
    • Evening shifts (dinner and late evening times from 5 pm).
    • Driving safely at all times.

Job Post Details

Data Engineer - job post

TO THE NEW
4.2 out of 5 stars
Melbourne VIC
From $60,000 a year - Full-time

Job details

Pay

  • From $60,000 a year

Job type

  • Full-time

Location

Melbourne VIC

Full job description

Designation: Data Engineer
Location: Melbourne (Hybrid Model)
Experience: 6 months-1 year
Employment Type: Full-time with benefits

Position Overview: We are looking for a motivated and enthusiastic Data Engineer (Fresher) to join our team and build a strong foundation in data engineering. In this role, you will work closely with experienced engineers and cross-functional teams to support the development, testing, and maintenance of data pipelines and reporting solutions. The ideal candidate is eager to learn modern data technologies, has a basic understanding of databases and programming concepts, and possesses strong problem-solving and communication skills. This is a great opportunity to gain hands-on experience in a collaborative and fast-paced environment.

Responsibilities:
● Contribute to end-to-end data engineering projects, from requirement gathering to solution delivery, including design, development, testing, and deployment of scalable solutions.
● Build and maintain high-performance, reliable data pipelines using SQL, ETL frameworks, and modern cloud-native tools
● Develop and manage large-scale data lakes and data warehouses, ensuring efficient data ingestion, transformation, and integration.
● Leverage analytics tools and best practices to help clients derive meaningful insights and align data models with business goals.
● Ensure data quality, integrity, and governance by implementing effective monitoring, validation, and logging mechanisms.
● Collaborate closely with cross-functional teams and client stakeholders to translate business requirements into technical specifications.
● Participate in code reviews, write clean and maintainable code, and adhere to coding and documentation standards.
● Stay updated with trends in cloud data platforms (e.g., AWS, Azure, GCP) and Big Data technologies, applying innovative ideas to enhance solutions.

Pay: From $60,000.00 per year

Application Question(s):

  • What is your current work authorization?

-Permanent Resident (PR)
-Temporary Visa
-Australian Citizen

  • What is your Notice Period
  • Which Data Engineering technologies have you worked with?
  • Which cloud platform are you most comfortable with?

Experience:

  • Data engineer: 1 year (Preferred)

Work Location: In person

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