Data Engineer II - Data Operations - SQL, Spark, Clickhouse and DataFusion Specialist in a Cloud-Agnostic Data Platform Environment with 2 or More Years of Experience - Full-Time Position.
AloMiniJob Bot
– Remote
Published at 01.02.2026
Description
We are designing and building a self-serve data platform to empower both internal teams and external partners.
Requirements
Education
- Bachelor’s degree in Computer Science, Engineering, or a related field
Skills
- Strong foundation in computer science fundamentals, including data structures, algorithms, database systems, and data modelling techniques
- Proficient in at least one of the following languages: SQL, Python, JVM-based languages
- Skilled in analysing, designing, implementing, and optimising Data Vault or Dimensional Modeling for performance and cost
- Experience with databases such as PostgreSQL, MySQL, ClickHouse, DuckDB, etc
Experience
- 2+ years of experience working as a Data Engineer
- Hands-on experience with infrastructure platforms — cloud-based (e.g., GCP, AWS) or on-premise — and container orchestration using Kubernetes
- Experience with data storage and processing engines like Apache Spark, Apache Flink, and StarRocks
Other
- A problem solver with a strong sense of ownership and accountability — not just a task executor
- Curious and committed to lifelong learning, with a passion for solving business problems through engineering, improving service quality and usability, and maintaining a strong customer focus
- Bachelor’s degree in Computer Science, Engineering, or a related field
Skills
- Strong foundation in computer science fundamentals, including data structures, algorithms, database systems, and data modelling techniques
- Proficient in at least one of the following languages: SQL, Python, JVM-based languages
- Skilled in analysing, designing, implementing, and optimising Data Vault or Dimensional Modeling for performance and cost
- Experience with databases such as PostgreSQL, MySQL, ClickHouse, DuckDB, etc
Experience
- 2+ years of experience working as a Data Engineer
- Hands-on experience with infrastructure platforms — cloud-based (e.g., GCP, AWS) or on-premise — and container orchestration using Kubernetes
- Experience with data storage and processing engines like Apache Spark, Apache Flink, and StarRocks
Other
- A problem solver with a strong sense of ownership and accountability — not just a task executor
- Curious and committed to lifelong learning, with a passion for solving business problems through engineering, improving service quality and usability, and maintaining a strong customer focus