
Data Pipeline Specialist
21 hours ago
About this Role
We are seeking an experienced ETL engineer to shape the future of automotive in Australia by providing authoritative reviews, detailed comparisons, and innovative commerce solutions.
Your Key Responsibilities
- Design, implement, and continuously expand data pipelines by performing extraction, transformation, and loading activities.
- Work with business stakeholders to design and deliver correct, high-quality data to meet functional requirements.
- Maintain and improve existing processes.
- Write detailed validation checks to identify schema drift, data duplication, and integrity errors.
- Maintain comprehensive documentation of pipeline logic and data lineage.
- Implement data governance policies by masking or excluding sensitive information and ensuring that all processing logs support regulatory traceability requirements.
- Fine-tune SQL queries, reduce data load times, and monitor overall system performance.
- Build robust error handling mechanisms that minimize downtime and ensure data integrity during recovery processes.
- Investigate logs and data structures to identify root causes and resolve issues quickly.
- Implement CDC (Change Data Capture) through log-based tracking, query-based monitoring, or API-driven change detection.
Required Skills and Qualifications
- Bachelor's degree in computer science, information technology, or a related field.
- 5+ years of experience with ETL processes, data warehousing, and data modeling.
- Proven track record of designing, building, and maintaining robust data pipelines to integrate data from diverse sources.
- Strong proficiency in SQL and Python for data manipulation, automation, and pipeline development.
- Hands-on experience working within a major cloud environment such as AWS is a must.
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