We are working with a leading innovator in technology solutions, specializing in advanced data management and analytics for enterprise clients.
The Role
- Design, develop, and optimize ETL workflows for enterprise data pipelines
- Ensure data quality, accuracy, and integrity throughout the ETL lifecycle
- Manage data movement to cloud storage and data warehousing platforms
- Monitor data pipelines, troubleshoot issues, and implement long-term solutions
- Collaborate with business stakeholders, data analysts, and BI teams to deliver reliable data solutions
- Translate business requirements into scalable technical solutions
What You'll Need
- 5+ years of experience in Data Engineering with a strong focus on ETL and Data Quality Assurance
- Expert-level experience with Python, PyPI, and SQL
- Strong experience designing and supporting enterprise data pipelines
- Solid understanding of cloud-based data platforms and storage solutions
- Strong understanding of cybersecurity principles related to application development, DevOps, and data access
- Excellent analytical, troubleshooting, and problem-solving skills
What's On Offer
- Opportunity to work on cutting-edge data solutions
- Collaborative and dynamic work environment
- Chance to contribute to high-impact projects
- Professional growth and development opportunities
Apply via Haystack today!
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Senior Data Engineer
Haystack
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