Required Skills
- 5+ years of hands-on experience in data architecture, with a strong background in designing, implementing, and optimizing data solutions;
- Expertise in AWS data services (Redshift, Glue, S3, DynamoDB, Kinesis);
- Strong understanding of data governance, security, and compliance;
- Proven experience in designing and optimizing scalable data pipelines that handle large volumes of data efficiently;
- Knowledge of best practices for data modeling, partitioning, indexing, and query optimization in distributed systems;
- Experience designing scalable data pipelines.
Responsibilities
- Define and document data architecture, ingestion, and storage strategy;
- Assess RDS and DynamoDB schemas, ensuring compatibility with Redshift;
- Provide input on governance, security, and compliance for data pipelines.;
- Work closely with AWS consultants and data engineers on technical feasibility.
We Offer
- We invite you to join our friendly international team;
- Comfortable work schedule;
- Zero bureaucracy;
- Pleasant working atmosphere;
- Interesting projects and challenging tasks;
- Opportunities for self-realization, professional and stable career growth;
- The optional partly compensation for learning English language.
About the project
The payment company faces several critical data challenges that impact both day-to-day operations and long-term scalability. From production overload to security compliance, addressing these issues is essential for ensuring stable growth, efficient reporting, and a modern data platform capable of supporting future enhancements.