What are the responsibilities and job description for the Marketing Data Engineer position at Dupaco?
We’re looking for a Marketing Data Engineer who’s excited to make a real difference by helping our Credit Union harness the power of data! This position will work closely with the Marketing and Data teams to build scalable data pipelines, optimize cloud data platforms, and enable robust analytics through modern data engineering tools. This role plays a key role in designing, developing, and maintaining our data infrastructure, ensuring high-quality, reliable data flows.
As an employee at Dupaco, you’ll be part of an inclusive team that believes that by working together we allow our members to live a life worth loving. Pair that with the training opportunities, career growth potential, attractive compensation, amazing benefit package, and the ability to have a voice in the success of the organization, you’ll have a career worth loving!
#DupacoDifference. https://www.youtube.com/watch?v=Oy_rZxNXcC8
Dupaco Values:
Demonstrates Dupaco Values: Rooted in Trust, Empathetic Understanding, Strengthening Relationships, Advocate for All and Invest in You
What You'll Do:
- Design and Develop ETL Pipelines: Build and manage scalable ETL (Extract, Transform, Load) pipelines to integrate and process marketing data. Employ a variety of languages and tools (e.g. Extract, Transform, Load (ETL), scripting languages), to marry systems together.
- Compliance: Ensure all data solutions adhere to security, privacy, and compliance standards.
- Data Quality Assurance: Implement robust data validation checks to ensure the integrity and reliability of marketing data. Reconcile data issues that arise quickly and implement. Document new or modified processes and decisions.
- Data Modeling: Architect and develop data models to support marketing segmentation, personalization, business decisions and automation.
- Automation: Build and maintain automation tools to enhance efficiency and productivity.
- Monitoring and Optimization: Monitor, troubleshoot, and optimize ETL pipelines to ensure efficiency and reliability.
- Support Data Vault: Explore structured/unstructured data sources to build and support a robust data vault.
- Collaboration: Work closely with business owner to gather requirements and deliver reusable data models for marketing work – such as campaigns, digital personalization and always on journeys. Collaborate with agile data team to design, develop, and implement innovative data solutions.
- Perform other duties as assigned.
You’ll need:
- Bachelor’s degree in related field or equivalent experience.
- Some experience in data engineering
- Preferred experience includes experience working with large-scale data warehouse technologies and cloud platforms, data modeling, data architecture, or data pipelines.
- Experience in SQL, Python, and data pipeline tools.
- Experience working with an ETL (Extract, Transform, Load) tool.
- Strong understanding of data validation, testing, and ensuring high data quality in complex workflow.
- Strong analytical and problem-solving skills to address data-related challenge.
- Ability to work effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders.