Deskripsi Pekerjaan
Join ConnectOS as a Data Quality Engineer and play a pivotal role in safeguarding data integrity for our Australian retail operations. This hybrid position combines remote flexibility with collaborative teamwork to ensure data accuracy across complex retail ecosystems. You'll implement robust data governance frameworks, identify quality gaps, and design automated validation processes that directly impact business decisions.
ConnectOS fosters an inclusive environment where your expertise in data stewardship will drive measurable improvements. As we expand our retail analytics capabilities, you'll partner with cross-functional teams to transform raw data into actionable insights. Your work will directly support our commitment to excellence in data-driven retail solutions for the Australian market.
Tanggung Jawab
- Develop and implement data quality frameworks for Australian retail datasets
- Conduct data profiling, cleansing, and validation across multiple sources
- Design automated monitoring systems to detect data anomalies
- Collaborate with business stakeholders to define data quality KPIs
- Document data quality rules and governance procedures
- Lead root cause analysis of data discrepancies
- Optimize ETL processes for enhanced data reliability
- Train teams on data quality best practices
Kualifikasi
- Bachelor's degree in Computer Science, Data Science, or related field
- 3+ years of experience in data quality engineering
- Proficiency in SQL and data profiling tools
- Experience with retail/e-commerce data systems
- Strong knowledge of data governance frameworks
- Skills in data visualization and reporting tools
- Familiarity with cloud data platforms (AWS/Azure/GCP)
- Excellent analytical and problem-solving abilities