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Data Engineer
Australian Payments PlusCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining scalable data pipelines, with strong capabilities in Snowflake, SQL, and Python. Proficient in data governance, security practices, and operationalizing data across various platforms.
Highest-signal resume keywords
Snowflake DevelopmentData Pipeline DesignPython ProgrammingETL/Data ProcessingData Governance
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Design, build, deploy and maintain scalable batch and real-time data pipelines
- Ingest, transform and make large, complex datasets available for business use
- Integrate data from APIs, databases, files, event streams and third-party platforms
- Design pipelines for reliability, scalability, performance and maintainability
- Implement orchestration, observability, error handling, reconciliation and recovery mechanisms
- Implement incremental processing, CDC and event-driven integration patterns
- Apply governance and security practices to payment and transaction data
- Develop Snowflake tables, views, schemas, stored procedures and other data objects
- Develop tests to validate data quality and transformation logic
- Monitor and optimise pipeline and platform performance
- Troubleshoot technical issues
- Provide on-call support as part of a rotational roster
Requirements
What you’ll need- 2+ years of hands-on experience building and maintaining enterprise or bank-grade data infrastructure
- Ideally experience in payments, banking or financial services
- Experience with Snowflake, DBT, Airflow and Kafka
- Experience building and maintaining software components that are part of build pipelines
- Strong experience with Snowflake, SQL and NoSQL data stores
- Experience with complex queries, transformations, data warehousing and large-scale data manipulation
- Strong Python capability
- Experience building data pipelines and integrations using APIs, ETL/data processing technologies and AWS
- Understanding of data modelling, data quality, reconciliation, governance and security for transaction or payment data
- Experience operationalising data across warehouses, lakes, streaming platforms and analytics tools
- Ability to work autonomously in Agile teams and collaborate with analysts and business stakeholders
- Willingness to provide on-call support as part of a rotational roster
Benefits
Comp & perks- Career development opportunities
- Flexibility in daily life
- Fun and friendships in the workplace
- Support and advice with job applications
- Inclusive workplace practices
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentSQLNoSQLData WarehousingData TransformationIncremental ProcessingCDCEvent-Driven IntegrationComplex QueriesData Quality Validation
Soft Skills
Autonomous WorkCollaborationProblem-Solving
Tools & Technologies
SnowflakeDBTAirflowKafkaAWS
Industry Keywords
PaymentsBankingFinancial ServicesData GovernanceTransaction Data