Data Engineer
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Job Description
Data Engineer focusing on designing and optimizing data pipelines for analytics and operational use cases. Collaborating with engineering and analytics teams to ensure data system integrity and quality.
Responsibilities:
- Write, optimize, and maintain complex SQL queries to extract, transform, and synchronize data across multiple systems
- Design and implement scalable data pipelines and transformation logic following best ETL practices
- Build and maintain data models that support analytics and operational use cases
- Monitor data quality, integrity, and consistency, proactively identifying and resolving issues
- Support database operations, including performance tuning, indexing, and query optimization
- Collaborate with cross-functional teams to understand data requirements and deliver reliable data solutions
- Troubleshoot data-related issues and provide ongoing support for data workflows
Requirements:
- Strong working knowledge of relational databases such as PostgreSQL and MySQL
- Hands-on experience with data modeling concepts and common ETL patterns
- Highly proficient in SQL, with proven experience optimizing queries for performance and scalability
- Comfortable working with large datasets and complex data transformations
- Detail-oriented, with a strong focus on data accuracy and reliability
- Able to work independently while collaborating effectively with technical and non-technical stakeholders
Benefits:
- Flexible work arrangements
- Professional development opportunities
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