Data Engineer, Enterprise Data, Insights & Analytics
Tasks
- Build and maintain KPI data marts
- Coordinate user acceptance testing and issue resolution
- Create data quality checks and monitoring
- Create metric definition documents
- Design ETL/ELT pipelines
- Develop and maintain Azure data pipelines
- Document data flows transformations and rules
- Execute QA testing in pre production production
- Extract transform load financial operational data
- Identify automation opportunities for scalability and reliability
- Investigate data variances root cause analysis
- Perform data reconciliation and validation
Perks/Benefits
- Career growth opportunities
- Continuing education programs
- Mental health benefits
- Performance incentives
- Product Discounts
- Retirement programs
Skills/Tech-stack
Apache Spark | Azure | Azure DevOps | Azure DevOps Repos | Azure Synapse | Cause analysis | Data Modeling | Data Quality | Data Reconciliation | Databricks | ELT | ETL | Git | Jira | Monitoring | Power BI | Python | Root Cause Analysis | Root cause | SQL | Tableau
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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