Lead Data Engineering and Analytics team to oversee data infrastructure design and governance for robotic deliveries. Collaborate cross - functionally to enable data - driven decision - making across departments.
About the role
- Teradata Lead contract role in Toronto requiring strong data management skills and hands-on experience with big data technologies like Hadoop, Spark, and Kafka.
Responsibilities
- Strong skills in data management: data modeling and db design, DWE Solution Architecture, data integration, data movement and replication, business intelligence, data quality, reference and master data management, data governance. Hands-on implementation experience working with a combination of the following technologies: Hadoop distributions, Storm and Spark streaming, Kafka, Spark advanced analytics, NoSQL data warehouses such as Hbase and Cassandra, data processing frameworks. Experience in designing and implementing big data solutions. This includes creating the requirements analysis, design of the technical architecture, design of the application design and development, testing, and deployment of the proposed solution. Expertise in database integration patterns and performance considerations for operational and DWE databases. Experience with patterns and technologies in emerging areas: Big Data, Hadoop, Hortonworks, Aster, NoSQL databases, Visualization tool, Advanced Analytics, BI Virtualization, Cloud etc. Domain Knowledge in financial services platforms and enterprise functions (e.g. Banking, Insurance, Investments, Wealth Management, AML, Risk, Finance, Fraud etc.).
Requirements
- No requirements provided
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Senior DataOps / Cloud Data Engineer
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