SnapTec ★ 3.4

As a Data Engineer, you will be part of a dynamic team working on various aspects of data management, processing, and analysis.

• Create and manage data pipelines for gathering information from diverse sources and storing it in the data lake.
• Architect and construct data systems that prioritize both performance and cost efficiency.
• Consistently improve and fine-tune existing data platform services.
• Coordinate with the Engineering team on release cycles and operational suggestions to monitor releases to foresee any issues that may arise with the data pipelines and reports
• Stay up-to-date with industry developments, refine core competencies, adopt emerging technologies as needed, and discern their appropriate applications
• Mentoring the team members in terms of the technologies.

• At least 3+ years of working experience as a Data Engineer
• Advanced knowledge and experience using Python for data processing. In-depth practical experience with SQL and NoSQL
• Experience in large-scale deployment and performance tuning.
• Familiar with spinning up the infrastructure of Amazon AWS, DynamoDB.
• Knowledge of ELK Stack - Elasticsearch, Logstash, and Kibana using RESTful and JSON to build reporting solutions.
• Ability to quickly learn new technologies and push the envelope for performance and reliability

• Join international projects
• Competitive salary, bonus based on capacity
• Review for working performance and salary twice per year
• Bonus for excellent employees of the year
• Reward for employees who work for 3 years, 5 years
• Yearly periodic health check
• Birthday gift, party
• Abroad tour, team building, company trip.

• Join international projects
• Competitive salary, bonus based on capacity
• Review for working performance and salary twice per year
• Bonus for excellent employees of the year
• Reward for employees who work for 3 years, 5 years
• Yearly periodic health check
• Birthday gift, party
• Abroad tour, team building, company trip.