Senior BI Analyst building Power BI dashboards and data solutions for TD, a global financial institution. Delivering actionable insights through SQL, Databricks, DAX, and Power Query.
About the role
- Senior Data and BI Engineer building enterprise data lakes, pipelines, and real-time analytics platforms. Supporting utility software provider Systems & Software’s trusted customer insights and operations.
Responsibilities
- Design, build, and support enterprise Data Lake solutions from the ground up
- Develop scalable ETL solutions and data pipelines
- Move and process terabytes of data efficiently
- Implement data quality, data governance, metadata, and lineage processes
- Develop anomaly detection, monitoring, and alerting capabilities
- Support modern Data Lakehouse and real-time analytics platforms
- Support large-scale data ingestion, transformation, reconciliation, and backfill processes
- Troubleshoot and optimize production data services and distributed analytics platforms
- Support production Linux environments and distributed data and analytics platforms
- Support enterprise reporting, self-service analytics, and business intelligence solutions
- Ensure data platforms handle sensitive and regulated information appropriately
- Provide technical leadership, mentor team members, conduct code and design reviews, and contribute to engineering standards and best practices
- Report to the DBA and Analytics Manager
Requirements
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related field, or an equivalent combination of education, professional experience, and demonstrated technical expertise
- 5+ years of experience in Data Engineering, Analytics Engineering, Business Intelligence Engineering, or related discipline
- Proven experience designing and building enterprise Data Lakes, Lakehouses, or analytical data platforms
- Strong experience developing enterprise ETL/ELT solutions and scalable data pipelines
- Experience designing, implementing, and supporting modern Data Lakehouse and real-time analytics platforms using Oracle Database, Debezium, Kafka, Kafka Connect, Apache Flink, Apache Iceberg, Nessie, StarRocks, Spark, Kyuubi, and Power BI
- Experience with Change Data Capture (CDC), event-driven architectures, real-time data processing, data cataloging, schema evolution, data versioning, and enterprise-scale ETL/ELT solutions
- Experience supporting large-scale data ingestion, transformation, reconciliation, backfill processes, and distributed analytics platforms, including troubleshooting and performance optimization of production data services
- Familiarity with observability, monitoring, and Site Reliability Engineering (SRE) practices using Prometheus, VictoriaMetrics, and Grafana
- Strong experience supporting production Linux environments (Oracle Linux, RHEL, CentOS, or equivalent), including system administration, systemd-managed services, performance tuning, automation, monitoring, troubleshooting, and operational support of distributed data and analytics platforms
- Advanced SQL development, data modeling, and performance tuning skills
- Experience with dimensional modeling, semantic-layer design, and analytical data structures
- Experience processing and managing large-scale data environments
- Hands-on experience implementing data quality, reconciliation, monitoring, and observability frameworks
- Experience with metadata management, data lineage, governance, and data cataloging practices
- Experience implementing monitoring, alerting, anomaly detection, and operational support processes for production data platforms
- Experience supporting enterprise reporting, self-service analytics, and business intelligence solutions that leverage curated datasets, semantic models, and high-performance analytical query engines
- Ability to ensure enterprise data platforms and analytics solutions adhere to requirements for handling PII, customer data, confidential business information, and other regulated data types
- Ability to provide technical leadership on complex data and analytics initiatives, mentor team members, conduct code and design reviews, and contribute to engineering standards and best practices
- Current, valid passport and legal eligibility to travel internationally, including required travel visas or passport-based visa exemption for Canada, the United States, and the Caribbean
Benefits
- 3 weeks’ vacation and 5 personal days
- Comprehensive Medical, Dental, and Vision benefits starting from your first day of employment
- Employee stock ownership
- RRSP/401k matching programs
- Lifestyle rewards
- Remote work
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