AddressAt INGRITY
Imagine the Impossible: It's not just an aspiration for our clients; we expect the same from our team.
INGRITY isn't your typical workplace; we thrive on the fusion of Intelligence & Grit. Prioritising personal growth, open communication, continuous learning, career progression, and accountability, we're on the lookout for individuals like you.
Do you seek roles fostering personal growth, allowing you to excel?
Do you flourish in a culture that values open communication and diverse perspectives?
Are you passionate about expanding your skills, eager to join a company that invests in employee development?
Are integrity and accountability at the core of your values?
If you answered yes to any of these questions, we invite you to explore opportunities with us and join a team committed to data smart excellence.
About the job:
We are seeking a GCP Data Engineer to join our Data Engineering team.
You will have the unique opportunity to collaborate closely with our prestigious clients and contribute to their success.
Responsibilities:
- Design, develop, deploy and maintain data pipelines and ETL processes on the Google Cloud Platform using services such as Dataflow (or Apache Beam), dbt and Airflow.
- Optimise and tune data processing workflows for performance, scalability, and reliability.
- Maintain code repositories using continuous integration and continuous deployment (CI/CD) processes and technologies.
- Implement data governance and security best practices to ensure compliance and data integrity.
- Collaborate with data scientists and analysts to enable seamless access to structured and unstructured data for analytics and reporting.
- Troubleshoot and resolve issues related to data infrastructure, ensuring minimal downtime and optimal performance.
- Stay informed of industry trends and emerging technologies, making recommendations for continuous improvement.
- 5+ years of proven experience as a Data Engineer with 2+ years of expertise in building and maintaining data pipelines on Google Cloud Platform.
- Strong proficiency in programming languages such as Python, Java, or Scala.
- In-depth knowledge of GCP services including BigQuery, Pub/Sub, Dataflow, Dataproc, and Cloud Storage.
- Experience with relational and NoSQL databases, data warehousing, and data modelling concepts.
- Familiarity with DevOps tools such as Git Repository (i.e., BitBucket), CI/CD tools (i.e., Bamboo), Jira/Confluence is preferred.
- Familiarity with containerization technologies such as Docker and Kubernetes is a plus.
- Excellent problem-solving skills and the ability to work effectively in a fast-paced environment.
- Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
- Bachelor's degree in Computer Science, Engineering, or related field. Master's degree preferred
Your development and Career ProgressionAt INGRITY we’re committed to building a diverse and inclusive workforce to deliver value to customers. As a value-driven organisation, we nurture and support our people by having a laser-sharp focus on skill and talent development, collaboration and flexibility. With customer service in mind at every touchpoint, we take accountability for the role we play in creating and enhancing our clients' businesses through the use of data-driven decisioning. At INGRITY, our belief is to “Imagine the impossible”.
Note:
- This position is based in Australia, and the candidate must have full working rights in Australia to be eligible for this role.
- Shortlisted candidates will be contacted for further interviews.
About INGRITY:
We are a fast-growing, progressive Sydney-based data & analytics company. We service many large corporates and SMBs in the financial services sector, to derive value from data. At Ingrity, we are committed to building a diverse and inclusive workforce to deliver value to customers. As a value-driven organisation, we nurture and support our people by having a laser-sharp focus on skill and talent development, collaboration, and flexibility.
