Data Cloud Engineer

About the role

As a Data Cloud Engineer at Bamboohr, you will play a pivotal role in shaping our data architecture and cloud infrastructure. This position is designed for individuals who are passionate about leveraging cloud technologies to enhance data accessibility and analytics. You will collaborate with cross-functional teams to design, implement, and maintain scalable data solutions that support our business objectives. This role offers a unique opportunity to work in a dynamic environment where innovation and efficiency are paramount.

Key facts

What you'll do

• Design and implement robust data pipelines that facilitate the extraction, transformation, and loading (ETL) of data from various sources into our cloud-based data warehouse.
• Collaborate with data scientists and analysts to understand their data needs and ensure that the data architecture supports their analytics requirements.
• Optimize existing data processes and workflows to improve performance and reduce costs associated with data storage and processing.
• Monitor and troubleshoot data workflows, ensuring data quality and integrity throughout the data lifecycle.
• Develop and maintain documentation for data architecture, processes, and systems to ensure clarity and continuity within the team.
• Implement security measures to protect sensitive data and ensure compliance with relevant data protection regulations.
• Work closely with the DevOps team to integrate data solutions with existing cloud infrastructure and deployment pipelines.
• Stay up-to-date with emerging cloud technologies and best practices in data engineering to continuously improve our data solutions.
• Participate in code reviews and provide constructive feedback to peers to foster a culture of quality and collaboration.
• Assist in the training and onboarding of new team members, sharing your expertise in cloud data engineering practices.
• Engage in regular meetings with stakeholders to report on project progress and gather feedback to refine data solutions.
• Contribute to the development of data governance policies to ensure that data is managed and utilized effectively across the organization.

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• A minimum of 3 years of experience in data engineering or a similar role, with a strong focus on cloud technologies.
• Proficiency in cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure, particularly in services related to data storage and processing.
• Strong experience with SQL and NoSQL databases, including but not limited to PostgreSQL, MongoDB, and BigQuery.
• Familiarity with data modeling techniques and best practices for data warehousing.
• Experience with programming languages such as Python, Java, or Scala for data manipulation and ETL processes.
• Understanding of data pipeline orchestration tools like Apache Airflow, AWS Glue, or similar technologies.
• Knowledge of data visualization tools such as Tableau or Power BI is a plus.
• Excellent problem-solving skills and the ability to work independently as well as in a team environment.
• Strong communication skills, with the ability to articulate technical concepts to non-technical stakeholders.

Nice to have

• Experience with machine learning frameworks and libraries, such as TensorFlow or PyTorch, is advantageous.
• Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.
• Knowledge of data governance frameworks and practices.
• Previous experience in the property management or real estate industry is a plus.

Skills & tools

• Cloud platforms: AWS, Google Cloud Platform, Microsoft Azure
• Databases: PostgreSQL, MongoDB, BigQuery
• Programming languages: Python, Java, Scala
• Data orchestration tools: Apache Airflow, AWS Glue
• Data visualization: Tableau, Power BI

Practical notes

This position is based in Sydney, New South Wales, and offers a competitive salary that reflects your experience and expertise. Bamboohr is committed to fostering a diverse and inclusive workplace, and we encourage applications from candidates of all backgrounds. We provide visa sponsorship for the right candidate, ensuring that you can join our innovative team without barriers. If you are excited about the opportunity to make a significant impact in the field of data engineering, we invite you to apply through our careers page.