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Senior Data Engineering Analyst

National Bank of Canada

This is a Contract position in Sarnia, ON posted September 14, 2022.

Data Engineering (Data Office sub-team) at National Bank is looking for several data engineering analysts who will help implement data foundations and automate the data pipeline creation process on our AWS -hosted analytics platform.

As part of your mission, you will greatly influence the data value chain to improve and accelerate the implementation of analytics solutions for intelligent, data-driven decision-making .

Our team Homogenizes data engineering standards and best practices Makes available quality data ready to be consumed by artificial intelligence and business intelligence models Makes available data monitoring and profiling tools to the Bank’s analytics community Supports the Bank’s data engineering community by putting training plans and data clinics in place We have a central position in the data value chain and collaborate with a wide range of multidisciplinary teams such as data governance , data management , data science , data architecture , and the Bank’s business lines , as well.

Your main contributions Design and develop data flows (ETL/ELT) Develop data transformations including historizing and cleaning data, integrating data from multiple sources, and adding business rules Deliver solutions and tools to meet business needs Ensure data quality and carry out necessary tests Your additional contributions Optimize the data ingestion process Carry out data profiling Integrate security principles and standards and data governance We want to contribute to your quality of life by offering you as much flexibility as possible in your work.

For example, we offer hybrid work (remote and in the office), work schedule arrangements to help you achieve work/life balance and flexible leave that you can take when it’s important to you.

Who are you?

Ability to write and optimize complex SQL queries Ability to develop in Python Ability to work with an ETL tool (Data Stage, SnapLogic, AWS Glue, etc.) Ability to work with a Data Warehouse Cloud (Snowflake, Redshift, etc.) Ability to work in an agile environment Knowledge of data modeling (data vault, dimensional) Strong mastery of concepts related to data warehouses and business intelligence Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent At least 5 years of relevant experience working with data Assets Ability to develop Power BI visualizations Experience with dbt or SAS Experience with Kafka, Spark and Databricks Knowledge of AWS cloud environments Knowledge of concepts related to DataOps Basic knowledge of machine learning General knowledge of banking services In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family.

Health and wellness program, including many options Employee Share Ownership Plan Employee and Family Assistance Program Preferential banking services Initiatives promoting community involvement Virtual sleep clinic These are a few of the benefits available to you.

We have an offer that keeps up with trends as well as your needs and those of your family.

Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience.

We actively listen to employees’ ideas.

Whether through our surveys or programs, regular feedback and ongoing communication is encouraged.

We’re putting people first : We’re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people.Our mission is to have a positive impact on peoples’ lives.

Our core values of partnership, agility, and empowerment inspire us,and inclusivity is central to our commitments.

We offer a barrier-free workplace that is accessible to all employees.

We want our recruitment process to be fully accessible.

If you require accommodations, feel free to let us know during your first conversations with us.

We welcome all candidates What can you bring to our team?

Ready to live your ambitions?

JobField: Business Intelligence and Data