
Data Engineer
2 days ago
Job Title: Data Engineer - Designing Scalable Data Pipelines
About the RoleWe're seeking a talented data engineer to join our team. As a key member of our data engineering team, you will play a crucial role in designing and implementing scalable data pipelines to support our growing business needs.
Key Responsibilities- Data Pipeline Development: Develops and maintains scalable data pipelines to support continuing increases in data volume and complexity.
- Data Model Improvement: Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
- Data Quality Assurance: Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
- Testing and Documentation: Writes unit/integration tests, contributes to engineering wiki, and documents work.
- Troubleshooting: Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
- Collaboration: Works closely with a team of frontend and backend engineers, product managers, and analysts.
- Data Asset Definition: Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.
- Data Integration and Quality: Designs data integrations and data quality framework.
What We Offer
- A dynamic work environment
- Opportunities for growth and professional development
- A competitive salary and benefits package
To be successful in this role, you'll need:
- Excellent problem-solving skills
- Strong communication and collaboration skills
- Experience with data engineering tools and technologies
- Knowledge of data modeling and data quality principles
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