Job Specifications
We have an immediate opening for a Teradata Lead with a leading IT Service Consulting company in Toronto, Ontario, Canada.
Role: Teradata Lead
Location: Toronto, Ontario
Responsibilities
Provide leadership and direction for enterprise data strategies; develop strategy presentations, roadmaps, socialize concepts, develop business cases, liaise with teams for planning and implementation
Provide technical leadership in data management: data modeling and db design, DWE Solution Architecture, Big data Architecture, data integration, data movement and replication, business intelligence, data quality, reference and master data management, data governance etc.
Provide DW/Big data Solution Architecture expertise
Provide leadership and direction for integrating and rationalizing data design within Data Management Environment, promoting reuse and quality
Promote the goals of data integration, data stewardship, data quality, and governance.
Provide leadership and direction for enterprise data strategies including Strong skills in data management: data modeling and db design, DWE/Big data Solution Architecture, data integration, data movement and replication, business intelligence, data quality, reference and master data management, data governance
Must-have
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.)
Nice-to-have
Experience with technologies (Teradata, DB2, SQL Server, Oracle, DataStage, Oracle BI etc.)
Experience with Hortonworks Data Platform (HDP)
Experience with Vertica or other MPP databases
Experience with Java/Python/functional programming
About the Company
Galent is an AI-native digital engineering firm at the forefront of the AI revolution, dedicated to delivering unified, enterprise-ready AI solutions that transform businesses and industries. Our mission is to empower organizations to thrive in an ever-evolving digital landscape through cutting-edge AI-native services, consulting, and digital engineering.
As enterprises face the complexities of integrating advanced technologies, Galent provides scalable, AI-enabled solutions that optimize processes, enhance productivity, an...
Know more