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
