198895BR, Full Time, Level 9
About This Role
We need someone to provide technical leadership covering a range of data analysis functions. These include data modeling, structured query language (SQL), data quality, data profiling, extract-transform-load (ETL), metadata enrichment and management, data provenance and lineage, report design and other specialized data management functions. You're a solid, independent, senior lead equipped to manage and direct activities related to analysis, design and support of technical data management solutions for larger projects.
Meaningful work is fueled by meaningful performance and career development conversations with your manager. Here's some of what you may be asked to perform:
We need someone to provide technical leadership covering a range of data analysis functions. These include data modeling, structured query language (SQL), data quality, data profiling, extract-transform-load (ETL), metadata enrichment and management, data provenance and lineage, report design and other specialized data management functions. You're a solid, independent, senior lead equipped to manage and direct activities related to analysis, design and support of technical data management solutions for larger projects.
Meaningful work is fueled by meaningful performance and career development conversations with your manager. Here's some of what you may be asked to perform:
- Elicit, analyze, interpret business and data requirements to develop complete business solutions, includes data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life cycle management, governance, lineage, metadata and reporting elements.
- Apply automation and innovation on new and on-going data platforms for those development projects aligned to business or organizational strategies.
- Design, implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ETL frameworks that meet business requirements.
- Work with technology/project teams to understand the business meaning of data, provide analysis and requirements so that data design is fully understood and the development initiatives are in line with intended design and standards.
- Deliver business or enterprise data deliverables (that adhere to enterprise frameworks) for various platforms/servers/applications/systems.
- Provide data analysis and requirements within enterprise platform (e.g. Hadoop).
- Implement processes aligned to data management standards, ensure data quality and requirements are embedded in/adhered to within system development deliverables.
- Develop, maintain knowledge of data available from upstream sources and data within various platforms.
- Perform data profiling using TD tooling and ad hoc system query languages to validate data analysis.
- Help development and testing teams resolve data issues.
- Support the user community by helping them interpret data.
- Engage with data managers, stewards and owners to implement, maintain, enhance data governance, quality and related policies, aligning with TD's standards and frameworks.
- Ensure capture of requirements related to data privacy and security, governance and access controls.
- Respect TD's technology delivery practices, standards, project management disciplines.
This position requires extensive understanding of Business Intelligence, Data Warehousing, Big Data Architecture and related work experience
Must Haves:
Must Haves:
- Undergraduate Degree or Technical Certificate.
- Graduate Degree preferred.
- 5 -7 years relevant experience with specialty in big data integration, data warehouse, analytics, reporting and data-visualization.
- Extensive knowledge of data architecture and modeling.
- Prior experience with data modeling tools such as Power Designer, Erwin, ER Studio, Info-Sphere.
- 5+ years' development experience with MSBI (SQL Server, SSIS, SSAS, MDX)
- 3+ years' development experience with Tableau
- 3+ year's of development experience in Hadoop stack (e.g. MapReduce, Spark, Sqoop, Pig, Hive, HBase, Flume, Kafka and emerging technologies)
- 3+ years' experience with Agile delivery methodology, particularly Scrum and related tools (e.g., Confluence, JIRA).
- Prior experience in a development area with hands on expertise in software development in various technology types (J2EE, .NET, etc.) an asset.
- Prior experience with related/complementary open source software platforms and languages (e.g. Java, Unix, Linux, Apache, R/Python/Scala) an asset.
- Expert knowledge of ETL processing and data-warehousing storage
- Extensive knowledge of data testing with ETL applications (Testing automation experience is an asset)
- Advanced knowledge of the technical environment/tools for own area.
- Advanced knowledge of business processes and procedures on a broad, organizational level.
- Sound to advanced knowledge of business, standards, infrastructure, architecture and technology from a design/support/ solutions perspective.
- Consulted as expert subject matter expert in at least one area of discipline to support clients/or project teams with research, analysis, design, hardware/ software support, solutions development and testing.
- History as a collaborative team player, strength in communicating clearly with partners to elicit information/data requirements.
- Capacity and eagerness to work independently as a senior/lead role on multiple tasks, and also coach/educate/guide/direct others.
- Ability to assume assignments that are moderate- to highly- complex and multi-faceted, to be performed under management guidance.
- Background knowledge on TD applications is an asset
- Development experience with Talend Data Integration is an asset
- Knowledgeable in many of followings
- Several RDBMSes such as: Microsoft SQL Server 2012+, IBM Netezza, DB2, Oracle
- ETL, Data Quality and Data Profiling tools: SSIS, IBM Data Stage, Podium, Talend, Pentaho, Informatica
- SAS , Cognos, or other BI, analytics, and reporting tools
- Knowledge of Teradata Financial Services Data Model (FSDM)
- Knowledge of general banking business model, technologies, operations, governance and regulatory environment is desirable.
- Experience working in both a technical and business context
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