Data Engineer

4 weeks ago

Old Toronto, Canada Apply Digital Ltd. Full time
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Who we are: We’re a global digital transformation partner for change agents. p>

What we do: We empower enterprises to shift to evolving business opportunities, gain powerful insights and deliver experiences that drive growth.

Who we help: Our 600+ digital specialists have helped global companies like Kraft Heinz, Moderna, Tigo, Atlassian, The Very Group and IKEA create business impact.

How we help: Wherever our clients are on their journey, we partner to align teams on a unified vision and digital roadmap. p>

THE ROLE

Apply Digital is seeking a specialized Data Engineer with a focus on CRM and Marketing Automation to join our team. In this role, you will collaborate with cross-functional teams to develop and optimize data infrastructures for our clients, particularly in the realms of Customer Relationship Management (CRM) and Marketing Automation. Your expertise in data engineering, combined with your experience in Snowflake, AWS data infrastructure, and marketing automation platforms like Braze, will be crucial in orchestrating effective marketing campaigns and audience segmentation. b>

  • Design and implement data solutions to support CRM and marketing automation functions, including audience segmentation and campaign orchestration.
  • Work closely with internal teams, vendors, and clients to define data requirements and select appropriate technology stacks for CRM and marketing projects.
  • Translate business requirements into technical specifications, focusing on data streams, integrations, transformations, and data warehouse solutions.
  • Establish and maintain data architecture frameworks, standards, and principles within the CRM and marketing domains.
  • Develop and manage data pipelines specifically designed for marketing data sources and destinations, such as Snowflake and AWS.
  • Integrate and manage data from marketing automation platforms like Braze.
  • Ensure optimal extraction, transformation, and loading (ETL) processes for diverse data sources, tailored to marketing and CRM needs.
  • Communicate effectively with stakeholders to understand and deliver on data requirements for marketing and CRM strategies.
  • Optimize existing data architectures to enhance performance and scalability in marketing contexts.
  • Plan and execute data migration activities for CRM and marketing systems, encompassing both current and historical data.
  • Employ best practices in data management, security, and privacy, with a focus on marketing data.
REQUIREMENTS
  • A Bachelor’s degree in Computer Science, Information Systems, or a related field.
  • Minimum of 7 years of experience in data engineering, with a focus on CRM and marketing automation platforms like Snowflake, AWS, and Braze.
  • Proficiency in ETL, data pipeline, and data warehousing technologies, especially within marketing contexts.
  • Experience with Python, PySpark, and other relevant data engineering tools.
  • Strong knowledge of relational SQL and NoSQL databases.
  • Familiarity with cloud data engineering platforms, particularly AWS services.
  • Proven ability to troubleshoot and resolve data issues in marketing and CRM systems.
  • Understanding of data privacy and security best practices in a marketing and CRM environment.

LIFE AT APPLY DIGITAL

  • Flexibility - work where you work best
  • Competitive benefits plan
  • Generous paid time off - take the time you need to be balanced and energized
  • A growing company means many opportunities for advancement - we like to promote from within
  • Training budgets, Days of Learning, company-wide training, Apply Library and our Hackathon for Good mean you have many different ways to learn and stretch yourself

ABOUT APPLY DIGITAL

We are a digital innovation company focused on products, platforms, and commerce. Digital to our core, we are purpose-built to transform possibilities for people. We work with well-funded start-ups, global brands, and Fortune 1000 companies spanning industries and audiences, including Moderna, Kraft Heinz, Arc’teryx, and Realtor.com.

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