Data Engineer
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Key skills for this role
About the Role
Design and maintain data pipelines, implement ETL standards, collaborate with stakeholders, and ensure data quality using Python and SQL.
Key Skills for This Role
Full Job Posting
Data Infrastructure & Pipeline Development
- Design, build, and maintain data pipelines, lakes, and warehouses.
- Develop ETL jobs and stored procedures/functions/packages.
- Ensure robust data storage and high-quality data delivery.
Technical Guidance & Integration
- Own and implement ETL operating standards.
- Provide guidance on infrastructure for analytics and AI use cases.
- Collaborate with backend developers and IT architecture teams for seamless integration.
Product & Stakeholder Collaboration
- Work with Product Owners to understand and meet data needs.
- Translate product requirements into engineering plans and roadmaps.
- Gather stakeholder requirements and build architectures aligned with business goals.
Quality & Process Excellence
- Promote a culture of process and data quality.
- Implement best practices for data management and quality assurance.
- Support bug fixing and performance optimization.
Agile Delivery & Team Collaboration
- Advocate for agile methodologies and iterative development
- Collaborate cross-functionally to deliver project outcomes.
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