Data Engineering Senior Analyst

2 weeks ago


Next Job, Canada National Bank Full time

Primary Locations: Montreal, Quebec Attendance: Hybrid Employee Status: RegularSchedule: Full-time
Would you like to use your talent and expertise to improve our client experience?If so, then keep readingDo you enjoy carrying out complex and varied analyses in order to provide relevant decision-making information?Do you want to work with large databases? Are you familiar with advanced data analysis tools (SAS, SQL, Power BI)?Are you a data analysis and data mining expert? Do you want to exercise your leadership skills to generate value for our clients?Joining the Data Engineering team at National Bank means contributing to its transformation and having a direct impact on clients. As a Senior Data Engineering Analyst, (360 Client View), you'll work on innovative projects analyzing and structuring data in order to meet the various needs of the data analytics teams, becoming an essential link in value creation and client impact at the Bank.Your roleDesign and develop data flows (ETL/ELT)Develop data transformations including historizing and cleaning data, integrating data from multiple sources, and adding business rulesDeliver solutions and tools to meet business needsEnsure data quality and carry out necessary testsWork in an agile/iterative work environmentImplement security enhancement and obsolescence elimination action plans and oversee their executionUnderstand the business rules governing the client experience, as well as the client's preference and retention data in order to properly support and advise our business partnersAutomate oversight of operational KPIs and data quality.Your additional contributionsProcess data ingestion requests Optimize the data ingestion process Participate in data modeling Carry out data profiling Integrate security principles and standards and data governance This position will report directly to the Senior Manager, 360 Client View, on the Conversational Ecosystem Transformation team. You'll be part of a dynamic, agile team where collaboration is an important value. We work in close collaboration with our Marketing and Analytics partners.
Required skillsBachelor's degree in a related field and 1 to 3 years of relevant experienceExperience in data manipulation, analysis and prototyping as well as knowledge of data modeling (data vault, dimensional)Ability to write and optimize complex SQL queries develop in PythonAbility to automate recurring tasks to free up capacity for value-added deliverablesComfortable working ETL tools (Data Stage, SnapLogic, AWS Glue, etc.) and with a Data Warehouse Cloud (Snowflake, Redshift, etc.)Experience with Kafka, Spark,

JOB TYPE

Work Day:Full Time

Employment type:Permanent Job

Salary:Negotiable

JOB REQUIREMENTS

Minimal experience:Unspecified


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