Data Engineer
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| Company Name | Prepare.sh |
| Company Type | Private |
| Job Type | Full-Time |
| Salary Range | Market Competitive |
| Location | Azerbaijan |
| Qualifications | Bachelor’s Degree |
| Experience | 5 Year+ |
Job Overview
Prepare.sh is seeking a Data Engineer to join their team in Azerbaijan. This role involves designing, building, and maintaining robust data pipelines and infrastructure to support the company’s innovative platform, which focuses on mastering job interviews with top companies.
Company Overview
Prepare.sh is a private technology platform dedicated to helping individuals master job interviews. They provide comprehensive interview questions, detailed job market analysis, and hands-on labs with production-like sandboxes to ensure users are fully prepared for real-world scenarios. Their mission is to equip candidates with the tools and knowledge needed to succeed in competitive job markets.
Quick Details
- Salary Range: Market Competitive
- Job Type: Full-time
- Qualifications: Bachelor’s Degree
- Experience: 5 Year+
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL processes.
- Build and optimize data warehousing solutions for efficient data storage and retrieval.
- Ensure data quality, integrity, and reliability across all data systems.
- Collaborate with cross-functional teams to gather requirements and deliver data solutions.
- Implement and manage data security and privacy protocols.
- Monitor data infrastructure performance and troubleshoot issues proactively.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related quantitative field.
- Minimum of 5 years of professional experience as a Data Engineer or in a similar role.
- Proficiency in programming languages such as Python, Java, or Scala.
- Strong expertise in SQL and experience with various database technologies (SQL/NoSQL).
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop).
- Excellent problem-solving skills and the ability to work independently and collaboratively.
Benefits
- Opportunity to contribute to a rapidly growing and innovative educational technology platform.
- Work in a collaborative and dynamic environment.
- Continuous professional development and growth opportunities.
- Competitive compensation package.
- Exposure to cutting-edge data engineering tools and technologies.
- Flexible work arrangements to support work-life balance.