Job Description
We are looking for an experienced Senior Data Engineer with 5+ years of commercial experience to join a large-scale data-driven platform with millions of users.
Requirements
The platform processes large-scale real-time data and requires a skilled engineer to develop and optimize data pipelines, storage solutions, and analytics systems. You will work closely with a highly experienced Data Architect and collaborate with a strong engineering team to ensure high-quality delivery.
Work Schedule: Full-time working day in our office (flexible hours) or remote
Interview Stages
Requirements
- 5+ years of experience with Java
- 3+ years of experience with SQL
- 2+ years of experience with Kafka
- Experience with Git, Linux/Unix, Maven
- Upper-Intermediate or Advanced English proficiency
- Experience with data lake solutions (Snowflake, BigQuery, Redshift, Databricks)
- Hands-on experience with Flink, Iceberg, Spark, Scala
- Familiarity with Kubernetes, GitLab, Protobuf/gRPC, Node.js/TypeScript
The platform processes large-scale real-time data and requires a skilled engineer to develop and optimize data pipelines, storage solutions, and analytics systems. You will work closely with a highly experienced Data Architect and collaborate with a strong engineering team to ensure high-quality delivery.
Work Schedule: Full-time working day in our office (flexible hours) or remote
Interview Stages
- 1-st stage — call with the Recruiter
- 2-nd stage — interview with our CTO and the Recruiter
- 3-rd stage — Client interview
- Projects with modern stack
- Work from anywhere (fully remotely or in our office)
- Paid vacations and sick-leaves, additional days-off, relocation bonus
- Wellness: Medical insurance/ sport compensation/ health check-up+flu vaccination at your choice
- Education: regular tech-talks, educational courses, paid certifications, English classes
- Fun: own football team, budget for team-lunches, branded gifts
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