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We're hiring on behalf of a Haystack partner!
The Role
• Process structured, semi-structured, and unstructured data using batch and real-time frameworks.
• Ensure data quality and automate the identification of data quality issues.
• Design and implement data solutions within enterprise data warehouses and big data repositories.
• Provide ongoing support, monitoring, and maintenance of deployed data products.
• Offer technical guidance and mentorship to less experienced data engineers.
• Stay current with new data technologies and best practices, sharing insights with the team.
What You'll Need
• Bachelor's or Master's degree in Computer Science or a related field, or equivalent industry experience.
• Proven experience with batch and real-time data processing frameworks.
• Strong experience with data modeling, access, schemas, and storage techniques, particularly in Snowflake.
• Experience in designing and developing scalable, high-volume software systems and components.
• Proficiency with relational databases (e.g., SQL, MySQL, PostgreSQL).
• Experience with ETL processes, business intelligence tools, and Git.
What's On Offer
• Competitive annual salary ($101,500 - $169,100) plus potential for additional compensation.
• Flexible vacation policy, paid holidays, and wellness leave.
• Opportunities for professional development and learning new technologies.
• Collaborative work environment with a focus on innovation.
Apply via Haystack today!
