Data Platform Specialist

3 months ago

Montréal, Canada Business Development Bank of Canada Full time

We are banking at another level.

Choosing BDC as your employer means working in a healthy, inclusive, and skilled workplace that puts forward the best conditions to bring together unique teams where employees are empowered to act. It also means being at the centre of ambitious economic and financial projects to see further and to do things differently, to fuel the success of Canadian entrepreneurs.

Choosing BDC as your employer also means:
- Flexible and competitive benefits, including an Employee Savings and Investment Plan where BDC matches part of your voluntary contributions, a Defined Benefit Pension Plan, a $750 wellness and health care spending account, to name a few- In addition to paid vacation each year, five personal days, sick days as necessary, and our offices are closed from December 25 to January 1- A hybrid work model that truly balances work and personal life- Opportunities for learning, training and development, and much more...
- POSITION OVERVIEW

As a Data Platform Specialist, you will be working at the data platform team and contribute to enterprise-wide best practices, processes, and platforms for BDC's strategy.

The bulk of the work will be in data exploration, data ingestion, data transformation, data preparation, designing, building, and developing pipelines consolidating streaming and batch data sources into the Enterprise Data Lake.

You will work on the frameworks and libraries that data platform team creates and maintains to progress from data to value.
- CHALLENGES TO BE MET- Participate with data analysts to map data fields to answer business needs- Ingest, curate, wrangle, and prepare data for use in AAAI models and other systems- Collaborate with Data Governance Office and participate in data governance practices (data lifecycle management, data quality management, data cataloging, and metadata management)- Design, build and develop ELT pipelines consolidating streaming and batch data sources into the Data Lake zones- Design, code, unit test, and integrate new features and functionality to BDC’s data engineering libraries- Develop clean and maintainable code with continuous integration / continuous deployment (CI/CD) best practices to prevent integration problems and ensure the code is releasable at any point in time- Create and maintain datasets on Azure Data Lake (ADLS) utilizing Azure Data Factory (ADF) and Azure Databricks- Create and maintain datasets on Big Query utilizing Cloud Data Fusion- Develop data ingestion, transformation, and preparation with Scala/Python and Apache Spark- Contribute to designing and building the infrastructure required for optimal ingestion, transformation, and loading of data from a wide variety of data sources using Azure big data technologies (ADLS, ADF, Databricks, and Azure Functions) and Power BI technologies- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, performance, and availability- Participate in scrum meetings and update stories on Azure DevOps- Participate in the estimation of the stories based on the defined Acceptance Criteria, Definition of Ready, and Definition of Done
- WHAT WE ARE LOOKING FOR- A bachelor’s degree in IT, Computer Science, Statistics, Mathematics, or related fields- 3+ years of industry experience as a Data Engineer- 2+ years of experience with Databricks platform- 2+ years of experience with Python programming language- 1+ years of experience with Powershell- Experience with Google data platform- Experience with Azure data factory- Experience with the Azure DevOps pipelines- Experience with SQL language and other relational database management systems- Experience with Agile processes- Strong interpersonal, strong communication and documentation- Bilingual (French & English)

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