Dupaco Credit Union is looking to harness the power of data to improve marketing efforts. This role will build scalable data pipelines, optimize cloud data platforms, and enable robust analytics through modern data engineering tools, ensuring high-quality, reliable data flows for marketing segmentation, personalization, business decisions, and automation.
Requirements
- 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.
- Preferred experience includes experience working with large-scale data warehouse technologies and cloud platforms, data modeling, data architecture, or data pipelines.
- Familiarity with ETL (Extract, Transform, Load) tools (i.e. Talend, Informatica, SSIS, or DataStage), strongly preferred
- Experience working with SQL queries
Responsibilities
- 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.
Other
- Bachelor’s degree in related field or equivalent experience.
- Some experience in data engineering
- Ability to work effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders.
- Detail Oriented: Capable of carrying out a given task with all details necessary to get the task done well
- Self-Starter: Inspired to perform without outside help
