高级数据工程师，EIM
Senior Data Engineer, EIM
**这是一个灵活的职位，可以选择在我们的多伦多办公室全职工作，每周混合办公，或在加拿大境内远程办公。** 你是否希望在从零开始设计和实施数据仓库的过程中发挥关键作用？Vena 正在踏上成为更加数据驱动型组织的旅程，我们意识到数据是我们最重要的资产之一。加入我们不断壮大的企业信息管理团队是一个令人兴奋的时刻，该团队目前正在开展一个大型项目，从根本上改变我们利用数据推动业务成果的方式。我们正在寻找一位经验丰富的数据工程师，他将在设计、实施、监控和演进我们的内部数据平台方面发挥关键作用，并始终考虑扩展性。
我们有许多关键的业务系统，以及一项雄心勃勃的数据战略，以实现价值、洞察力和决策能力的提升。理想的候选人既是数据工程师，也是领导者，能够设计并执行标准、最佳实践和方法论，使数据工程、质量保证和分析具备可扩展性，并具备良好的人际交往能力，能够展示处理复杂数据概念的能力。
#### 你将如何产生影响
- 推动我们内部数据基础设施技术愿景的执行。
- 提升你所在团队及整个 EIM 组织的技术成熟度和专业水平。
- 构建一个全面的数据计划，该计划与数据来源无关，并整合来自各种业务应用的数据，集中提供产品使用情况、营销效果、员工留存率、客户终身价值等信息。
- 在数据团队中实现真正的敏捷性，按冲刺周期工作并逐步构建，拥抱最小可行产品（MVP）和待办事项列表的概念。
- 设计并实施通过自动化现有和新运营模式流程来实现增长和生产率的策略。
- 设计数据模型、数据映射以及必要的 ETL 设计。构建并验证各种数据集成的活动。
- 与关键利益相关者团队合作，交付可扩展的下一代数据架构，以及符合公司安全和数据治理要求的坚实数据工程流程。
- 培养数据驱动的文化，推动组织内相关能力和数据素养的建立。
#### 我们希望看到
- 4 年以上构建和部署数据集成（ETL）工作流的经验
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**This is a flexible position and has the option of working in our Toronto office full time, hybrid throughout the week or working entirely remotely within Canada.** Are you looking to play an integral role in designing and implementing a Data Warehouse from the ground up? Vena has embarked on the journey of becoming a more data-driven organization and we realize that data is one of our most important assets. It’s an exciting time to join our growing Enterprise Information Management team, which is currently working on a large program to fundamentally transform the way we leverage data to drive business outcomes. We are looking for an experienced Data Engineer who will play an integral role in designing, implementing, monitoring and evolving our internal data platform with scale in mind.
We have many critical business systems and an ambitious data strategy to execute against to enable us to unlock value, insights and improve decision-making. The ideal candidate is both a data engineer and leader, who can design and enforce standards, best practices and methodologies, enable scalability of data engineering, quality assurance and analysis, and has strong interpersonal skills and can demonstrate the ability to work with nuanced data concepts.
#### How You'll Make an Impact
- 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.
#### We'd Love to See
- 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
**_The base salary range for this role is $129,200 - 174,800 CAD._**
_*Our salaries are tailored to roles, levels and locations. Your individual pay within this range is influenced by factors like work location, skills, experience and education. As you progress in your role, your compensation may adapt, offering flexibility for growth beyond initial levels. For specifics, your recruiter will provide details and address any questions during the hiring process._