Cloud Data Engineer
Sydney, New South Wales, Australia
PaidRight
Australian businesses are using PaidRight to prove they are paying their people correctly. Providing confidence to the board, employees and Fair Work.PaidRight exists to restore trust between employers and employees when it comes to pay. We envision a world where employee payment compliance is a given and payroll data drives business optimisation. We are a small, well funded company that services some of the biggest names in the country and are currently looking for cloud data engineers to join our exciting team, providing technical expertise to help us grow. We need experienced people who can add immediate value to our data pipelines, allowing us to support more customers at a faster cadence.
What you’ll do:
- Build scalable, reliable, and maintainable data pipelines and data quality checks
- Identify opportunities for automation and optimisation of existing data pipelines
- Cleanse, model, and analyse various forms of payroll data
- Engage directly with customers to understand appropriate transformations for modelling source data of varying formats into various output schemas
- Consult with customers to develop reference datasets for capturing customer-specific interpretation of their data
- Continuously innovate to improve our systems and processes so that we can better serve our customers
Requirements
- Have at least 2 years combined experience in data-related areas such as data analytics, data warehousing, and data engineering
- Proficiency in Python and SQL
- Experience with GCP, AWS, or Azure
- Personal or professional experience working with the following GCP services or their AWS/Azure equivalents; BigQuery, Cloud Functions, Cloud Storage
- Strong problem solving skills
- Collaborative by nature and able to work within a cross-functional team
Nice to have:
- Experience with serverless architectures and event-driven data processing
- Experience with software engineering practices such as version control and unit testing
- Experience developing data visualisations using tools such as Tableau and Looker
- Experience with automation tools such as Cloud Composer and Airflow
- Experience with building data quality tasks through Dataplex or otherwise
Benefits
We are a young startup with plenty of space for career development. You will be given every opportunity to learn and grow with a fast paced company. We offer flexible hours and flexible remote working opportunities as well as 18 weeks parental leave. We like to be social by having team lunches, dinners and our quarterly strategy sessions usually involve great social and cultural events.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS Azure BigQuery Data Analytics Data pipelines Data quality Data Warehousing Engineering GCP Looker Pipelines Python SQL Tableau Testing
Perks/benefits: Career development Flex hours Parental leave Startup environment Team events
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