Data Engineer – AWS Focus – Remote

6 days ago

Barangaroo New South Wales Australia DNX Solutions Full time $120,000 - $180,000 per year

Why Join DNX Solutions?

From day one at DNX, you'll feel part of a strong, supportive team where collaboration and growth are at the heart of everything we do. You'll never feel alone—there's always someone ready to help, guide, and share knowledge. DNX Solutions has earned the 2025 Great Place to Work Certification It is the gold standard for workplace excellence worldwide, awarded based on direct feedback from employees, measuring trust, workplace culture, and job satisfaction. Earning this certification highlights our commitment to fostering an environment where our team members feel valued, supported, and empowered to excel.

At DNX, your career path is clear, and your learning never stops. We invest in both your professional and personal growth, ensuring you develop new skills, stay ahead in the industry, and build a career that excites you.

And let's be honest—we're a cool bunch of people We love what we do, and we bring that passion into our work and team culture. If you're looking for a place where you'll be challenged, supported, and surrounded by a fun and driven team, DNX is the place for you

About the Company / Team:

Join our Data team at DNX and help design, build, and optimize data pipelines and architectures in the cloud. You'll work with cutting-edge technologies, turning raw data into actionable insights that drive business decisions. We value innovation, collaboration, and continuous learning.

Responsibilities:

  • Design, build, and maintain scalable data pipelines and ETL processes on AWS.
  • Work with AWS services such as Redshift, S3, Glue, Lambda, EMR, and Athena to manage and process large volumes of data.
  • Collaborate with Data Analysts, Data Scientists, and stakeholders to understand data requirements and deliver solutions.
  • Optimize data storage, performance, and cost-efficiency in the cloud environment.
  • Implement data quality and governance practices to ensure accuracy, consistency, and reliability.
  • Stay updated on AWS technologies and data engineering best practices.
  • Troubleshoot and resolve data-related issues, ensuring system reliability and uptime.

Requirements:

  • 4 years of Hands-on experience with AWS data services: Redshift, S3, Glue, Lambda, EMR, Athena.
  • Strong SQL skills for querying and transforming data.
  • Experience with ETL/ELT processes and data pipeline orchestration (e.g., Airflow).
  • Proficiency in Python for data engineering tasks.
  • Solid understanding of data modeling, warehousing, and big data concepts.
  • Experience with version control (Git) and CI/CD pipelines.
  • Strong analytical and problem-solving skills, with attention to detail.
  • Ability to collaborate effectively with cross-functional teams and communicate technical concepts clearly.

Preferred / Nice-to-Have:

  • Experience with Databricks or Spark on AWS.
  • Familiarity with data governance, security, and compliance practices.
  • Knowledge of containerization (Docker, Kubernetes) in data workflows.
  • AWS certifications (e.g., AWS Certified Data Analytics – Specialty).
  • Education:
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field (or equivalent experience).

DNX is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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