Position: Data Engineer
Company: Everstake
Category: Data Engineer
Experience required: 2y
English level: upper

**The Daily**
- Create and maintain optimal data pipeline architecture
- Lead and architect data infrastructure for all NFT related data on Solana
- Assemble large, complex data sets that meet functional / non-functional business requirements
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
- Work closely with stakeholders including data, design, product and executive teams, and assist them with data-related technical issues

**The Essentials **
- 2+ years of experience in data engineering big data analytics, computer engineering, or related field
- Proven experience working and optimising big data
- Experience with databases, including PostgreSQL, ClickHouse
- Knowledge of Rust programming language would be a plus
- Experience and understanding of RestApi or GraphQL implementation
- Knowledge of Web3 would be a plus 
- Strong analytic skills related to working with unstructured datasets
- Deep understanding of and genuine excitement about the crypto community

**The Perks **
- Competitive salary and bonuses
- Health and wellness benefits package: medical assistance, gym membership reimbursement, free mental health assistance
- Flexible working hours and an opportunity to work remotely
- Interesting, responsible, and challenging job in the crypto market
- Crypto investment opportunity and advisory assistance
- Free English courses with daily practice
- Professional development assistance
- Paid vacation, holidays, and sick leaves
- Relocation package if desired
- Adequate management with minimal bureaucracy
- Dynamic agile working environment and a team of good professionals