Administrateur principal de plateformes de données chez EDC, société d’État aidant les entreprises canadiennes à réussir à l’étranger. Conception, exploitation et gouvernance de plateformes de données infonuagiques.
About the role
- Senior Data Engineer for Vena, focused on building a robust data platform to support business strategies. Overseeing the data engineering processes and promoting a data-driven culture across the organization.
Responsibilities
- Drive the execution of the technical vision of our internal Data Infrastructure.
- Evolve the maturity and the level of technical excellence across your group and the entire EIM organization.
- Build an all-inclusive data program that is source agnostic and brings together data from various business applications to provide product usage, marketing effectiveness, employee retention, LTV, all in one place.
- Create true agility within the data team to work sprint-by-sprint and build progressively, embracing the concept of MVP and backlogs.
- Design and implement strategies that will achieve growth and productivity through process automation of existing and new operating models.
- Create data models, data mapping and the necessary ETL design. Build and validate activities for various data integrations.
- Partner with key stakeholders teams to deliver a scalable next generation data architecture, and solid data engineering processes that align with corporate Security and Data Governance.
- Foster data-driven culture and the creation of related competencies and data literacy across the organization.
Requirements
- 4+ years of building and deploying data integration (ETL) workflows from multiple business applications (HubSpot, Salesforce, ADP WFN), databases, flat files, JSON/XML, APIs with proven working experience in an agile or scrum environment.
- Direct experience with Redshift, Snowflake, or similar cloud data warehouse technology. Snowflake is preferred.
- Strong programming skills in SQL, Python and data integration tools such as Fivetran, and Stitch. Fivetran is preferred.
- Skilled in creating source-to-target data mapping and ETL transformation rules.
- Experience developing and/or managing near real-time data pipelines and fast data architectures.
- Experience with creating reusable ETL framework/components, automated testing, continuous integration and automated build pipelines.
- Excellent understanding of relational and dimensional data modelling.
- The ability to influence through strong communication and interpersonal skills.
- A love of learning, a drive for self-improvement and a desire to help everyone be better.
- Understanding of complex business processes and subject matter, able to grasp and simplify the expression of complex scenarios in a way that helps business partners get to solutions;
- Customer service minded and strong client interaction skills.
- A top performer with a diligent work ethic and commitment to excellence.
- Interest in AI and willingness to explore AI-driven solutions to enhance performance and drive efficiencies
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