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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining data models and transformation pipelines using dbt, SQL, and Python, while contributing to AWS-based data infrastructure and applying CI/CD practices for robust data products. Strong problem-solving abilities and collaboration skills are essential for translating business needs into effective data solutions.
Highest-signal resume keywords
SQL Data ModellingDbt ExperienceAWS Data ServicesPython AutomationCI/CD 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
SQLDbtPythonData ModellingData TransformationData AnalysisCI/CDTestingDocumentationData Lifecycle Understanding
Soft Skills
Problem-SolvingCollaborationCommunicationAdaptabilityBusiness Understanding
Tools & Technologies
AWSTerraformDagsterSnowflakeS3GlueLambdaAirflowSageMaker
Industry Keywords
MLOpsData InfrastructureSelf-Service AnalyticsData ProductsBusiness-Facing Analytics
Tech Stack
Tools & technologiesAirflowAWSPythonSnowflakeSQLTerraform
About the role
Key responsibilities & impact- Build and maintain reliable, business-ready data models and transformation pipelines using dbt, SQL and Python
- Contribute to the design and operation of AWS-based data infrastructure, including Terraform
- Help build and evolve the Dagster-based orchestration platform
- Improve monitoring, resilience and operational maturity
- Deliver foundational datasets and tooling for self-service analytics
- Apply CI/CD, testing and documentation practices to create robust, auditable and trusted data products
- Collaborate with analysts, data scientists and engineers
- Automate workflows with Python and support production ML use cases
Requirements
What you’ll need- Solid understanding of the data lifecycle, from ingestion through analysis and consumption
- Strong SQL skills for data modelling, transformation and analysis
- Hands-on experience using dbt in a professional or personal project
- Familiarity with version control, testing and CI/CD
- Experience using Python for scripting, automation or data manipulation
- Ability to understand business problems and translate them into clear data models and pipelines
- Strong problem-solving skills and comfort working through ambiguity and evolving requirements
- Experience with Snowflake is a bonus
- Exposure to AWS data services such as S3, Glue or Lambda is a bonus
- Exposure to Airflow or Dagster is a bonus
- Familiarity with MLOps concepts or tools such as SageMaker is a bonus
- Experience working with business stakeholders or supporting business-facing analytics and reporting is a bonus
Benefits
Comp & perks- Hybrid working
- Meeting-free Fridays
- Quarterly company-wide Recharge Days, equivalent to 4 additional days of leave per year
- Employee Assistance Program with access to GPs, dieticians, counselling and mental health specialists
- $200 Airpowerment Fund allowance for health and wellbeing
- $1000 of Airtasker credits every year
- Tenure leave starting from the 3rd anniversary, from 3 extra days annually up to 5 days annually
- Ability to swap national, state or territory public holidays
- Learning and development programs and budget allowances
- 360 performance reviews
- One day of volunteer leave per year
- Peer-nominated quarterly Values Awards and periodic Go-Getter Spirit Award
- Vibe Committee events
- Birthday leave: one extra day during birthday week