Data Engineer

Responsibilities

- Data Integration and Syncing

• Sync customer data across multiple systems, ensuring data consistency and accuracy.
• Implement and manage data pipelines to support seamless data integration.
• Monitor data flows to identify and resolve any issues promptly.
• Understand Braze’s main data ingestion capabilities and how they can be leveraged by the data architecture.

- Event Data Management

• Work with event data to capture and analyze customer interactions across various touchpoints.
• Develop and manage lambda functions to transform and enrich event data in real-time.
• Ensure event data is accurately captured and stored for analysis and reporting purposes.

- Customer Engagement Optimization through Braze

• Work through the system restrictions in order to power Customer Engagement personalization and triggers in Braze.
• Collaborate with marketing and product teams to optimize customer engagement strategies using platforms like Braze.
• Leverage customer data to identify opportunities for personalized marketing and engagement.
• Provide actionable insights to drive customer engagement and retention.
• You will have appetite for learning about Data Warehouses (Snowflake specifically) and how they can be leveraged to strengthen the customer experience proposition through Braze.

- Collaboration and Support

• Work closely with cross-functional teams, including data engineers, analysts, and marketing professionals, to align on data strategies and implementation.
• Provide technical support and guidance to team members on best practices for data integration and event data management.
• You will always be on the lookout for ways our clients can improve their current data stack and either be more efficient or have more impact on our work.
• Align with the internal Snowflake and CRM team to align on the data plan and therefore power the Braze platform in the most efficient way possible.

Required Skills and Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or equivalent professional experience.
• 4+ years of experience as a Data Engineer, CDP Consultant or similar role
• 4+ years of experience working with Python
• 2+ years of experience working with one or more cloud platforms (AWS, Azure or GCP)
• Strong knowledge of data integration and syncing techniques.
• Experience working with event data and developing lambda functions.
• Experience working with Git and CI/CD tools.
• Familiarity with customer engagement platforms like Braze, Saleforce Marketing Cloud, HubSpot or similar tools.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills with the ability to convey complex data concepts to non-technical stakeholders.
• Ability to work independently and collaboratively in a fast-paced environment.
• Experience working in an agency setting or working with external clients

Preferred Qualifications:

• Knowledge of data privacy and security best practices.
• Understanding of data analytics and visualization tools (e.g., Tableau, Power BI).
• Experience working in Scrum.