Data Engineer – Data & AI Practice
Tasks
- Assess and improve data quality integrity usability
- Build ETL and ELT workflows
- Design data pipelines for ingestion transformation monitoring
- Develop batch and streaming data solutions
- Enhance data models and reporting outcomes
- Implement CI/CD pipelines and release processes
- Participate in agile estimation peer reviews knowledge sharing
- Perform root cause analysis for data issues
- Use AI assisted engineering tools with governance
- Write tests and documentation for data delivery
Perks/Benefits
- Flexible work arrangements
- Health and wellbeing program
- Learning & development program
- Novated leasing options
- Paid leave
- Recognition programs
- Salary packaging
- Social events
Skills/Tech-stack
AWS | Apache Airflow | Azure | CI/CD | DBT | Databricks | ELT | ETL | Git | Pandas | PySpark | Python | SQL | Snowflake
Education
N/A
Roles
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