Associate Data Engineer

TD•Toronto, ON

5d•Onsite

About The Position

Perform data analysis and assess data management requirements. Ensure data is maintained in compliance with enterprise data standards, policies, and guidelines. Develop and maintain ETL jobs using the Bank's standard tools. Provide support to the development and testing teams to resolve data issues. Support partners and stakeholders in interpreting and analyzing data. Support the QA team with any data loads and data analysis/investigations as part of SIT/UAT/PAT testing. Provide post implementation support to the production support team during the warranty period. Raise service-now requests and work with the change management team to support release management activities. Ensure metadata and data lineage is captured and compatible with enterprise metadata and data management tools and processes. Ensure technical decisions, technical risks and lessons learned are clearly documented and enhancements are implemented. Work collaboratively with the team and leadership to proactively identify and resolve issues related to product quality. Work collaboratively with the data engineering team to define and validate appropriate user stories, acceptance criteria and definitions of done / ready. Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques accordingly. Working knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures. Knowledge in Azure technologies such ADLS, Azure Databricks, Azure Data Factory, Synapse. Experience in SQL for data analysis. Designs and develops to meet business and technical requirements; analyzes, adapts, integrates, codes, tests, debugs, and executes. Uses and evolves established patterns to solve routine problems; contributes to new patterns where necessary.

Requirements

Strong in SQL and Python
Knowledge on Azure Data Lake (ADLS gen2), Data bricks, Azure Data Factory
Experience in SQL for data analysis
Designs and develops to meet business and technical requirements; analyzes, adapts, integrates, codes, tests, debugs, and executes
Uses and evolves established patterns to solve routine problems; contributes to new patterns where necessary

Nice To Haves

Working knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures
Knowledge in Azure technologies such ADLS, Azure Databricks, Azure Data Factory, Synapse

Responsibilities

Perform data analysis and assess data management requirements
Ensure data is maintained in compliance with enterprise data standards, policies, and guidelines
Develop and maintain ETL jobs using the Bank's standard tools
Provide support to the development and testing teams to resolve data issues
Support partners and stakeholders in interpreting and analyzing data
Support the QA team with any data loads and data analysis/investigations as part of SIT/UAT/PAT testing
Provide post implementation support to the production support team during the warranty period
Raise service-now requests and work with the change management team to support release management activities
Ensure metadata and data lineage is captured and compatible with enterprise metadata and data management tools and processes
Ensure technical decisions, technical risks and lessons learned are clearly documented and enhancements are implemented
Work collaboratively with the team and leadership to proactively identify and resolve issues related to product quality
Work collaboratively with the data engineering team to define and validate appropriate user stories, acceptance criteria and definitions of done / ready
Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques accordingly
Working knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures
Knowledge in Azure technologies such ADLS, Azure Databricks, Azure Data Factory, Synapse
Experience in SQL for data analysis
Designs and develops to meet business and technical requirements; analyzes, adapts, integrates, codes, tests, debugs, and executes
Uses and evolves established patterns to solve routine problems; contributes to new patterns where necessary