Senior Software Engineer - Data Integration & JVM Ecosystem
Clickhouse- Location
- US
- Workplace
- Remote
- Employment
- Full Time
- Salary
- —
Posted 3mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Own and maintain critical parts of ClickHouse's Data engineering ecosystem
- Craft tools that enable Data Engineers to harness ClickHouse's speed and scale
- Own the full lifecycle of data framework integrations
- Build the foundation that thousands of Data engineers rely on
- Collaborate with the open-source community, internal teams, and enterprise users
Requirements
- 6+ years of software development experience
- Experience building and delivering high-quality, data-intensive solutions
- Proven experience with the internals of Apache Spark, Apache Flink, Kafka Connect, or Apache Beam
- Experience developing or extending connectors, sinks, or sources for big data processing frameworks
- Strong understanding of database fundamentals: SQL, data modeling, query optimization
- Familiarity with OLAP/analytical databases
- Track record of building scalable data integration systems
- Strong proficiency in Java and the JVM ecosystem
- Deep knowledge of memory management, garbage collection tuning, and performance profiling
- Solid experience with concurrent programming in Java
- Outstanding written and verbal communication skills
- Understanding of JDBC
- Understanding of network protocols (TCP/IP, HTTP)
- Understanding of techniques for optimizing data throughput over the wire
- Passion for open-source development
Preferred
- Prior contributions to open-source projects
- Familiarity with ClickHouse or similar high-performance data platforms
- Working knowledge of Python, especially in data engineering contexts (e.g., Pandas, PySpark, Airflow)
- Ability to contribute to Python tooling when needed
Skills
- Java
- JVM
- Apache Spark
- Apache Flink
- Kafka Connect
- Apache Beam
- SQL
- OLAP
- JDBC
- TCP/IP
- HTTP
- Python
- Pandas
- PySpark
- Airflow
- Grafana
- Tableau
- Power BI
- Metabase
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