SQL Data Engineer

Job Description

Skills: SQL, Data modeling, ETL processes, Database management, Big data technologies, redshift, code migration,

Company Overview

With a team size of 51-200 employees, we are committed to fostering growth and success for both job seekers and businesses.

Job Overview

This is a Full-Time employment opportunity, and the ideal candidate will demonstrate expertise in handling complex data systems.

• Strong proficiency in SQL, redshift, and code migration (Mandatory skill), ensuring efficient data processing and handling.
• In-depth understanding of data modeling techniques to structure and organize data effectively for analytics and reporting.
• Proven experience in designing and implementing ETL processes to seamlessly integrate and transform data from various sources.
• Robust knowledge of database management systems, reflecting an ability to optimize and maintain database performance.
• Experience with big data technologies, showcasing the capability to work with and analyze large volumes of data efficiently.
• Ability to collaborate with cross-functional teams to collect, analyze, and interpret data to drive informed decisions.
• Excellent problem-solving skills, with an innovative approach to designing data solutions that meet business requirements.
• Strong attention to detail, ensuring accuracy in data analysis and reporting to support organizational goals.

• Redshift SQL Database Expertise: Possess expert-level knowledge and a minimum of 5 years of experience with Redshift SQL Database and stored procedures.
• Stored Procedures Debugging: Exhibit advanced skills in debugging stored procedures.
• Test-Driven Development: Understand and apply test-driven development concepts to stored procedures.
• Application Support: Provide software application support under the guidance of the Senior Engineer.
• Functionality Analysis and Improvement: Analyze software application functionality and recommend enhancements.
• Database Functionality: Ensure the effective database functionality of applications.
• Code Migration Management: Manage code migration across different environments to maintain synchronized functionality.
• Error Analysis and Escalation: Identify root causes of application errors and escalate significant concerns as needed.
• Configuration Changes and Updates: Keep detailed records of configuration changes and schedule application updates.
• Process Documentation and Monitoring: Document processes and monitor application performance metrics.