Lead Java and Data Integration Engineer
Research InnovationsSalary not specified
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Database & Data ManagementIndustries
Requirements
Candidates should possess 5+ years of software development experience with a focus on building and delivering high-quality, data-intensive solutions, strong proficiency in Java and the JVM ecosystem including knowledge of memory management, garbage collection tuning, and performance profiling, solid experience with concurrent programming in Java, and experience developing, extending, or working with connectors, sinks, or sources for at least one big data processing framework such as Apache Spark, Flink, Beam, or Kafka Connect. A strong understanding of database fundamentals, including SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases is required, along with outstanding written and verbal communication skills and a passion for open-source development.
Responsibilities
As a Senior Java Engineer, you will serve as a core contributor, owning and maintaining critical parts of ClickHouse’s Data engineering ecosystem, crafting tools that enable Data Engineers to harness ClickHouse’s incredible speed and scale, and owning the full lifecycle of data framework integrations—from the core database driver to SDKs and connectors. You will collaborate closely with the open-source community, internal teams, and enterprise users to ensure JVM integrations set the standard for performance, reliability, and developer experience, directly impacting how companies process massive datasets and contributing to the evolution of the core system through open-source contributions.
Skills
Java
JVM frameworks
Database drivers
Data connectors
SDK development
Data engineering
High-performance database engineering
Clickhouse
High-speed column-oriented database management system
About Clickhouse
ClickHouse provides a high-speed, column-oriented database management system designed for developers and businesses that manage large-scale data. Its primary product processes analytical queries quickly by storing data from the same columns together, making it significantly faster than traditional row-oriented databases, especially in Online Analytical Processing (OLAP) scenarios. ClickHouse stands out from competitors by offering a free, open-source database that can be deployed on local machines or in the cloud, along with a fully managed service on platforms like AWS, GCP, and Microsoft Azure. The company's goal is to deliver a cost-effective solution that simplifies data management for its clients, as evidenced by user feedback highlighting substantial cost savings.
San Francisco, CaliforniaHeadquarters
2021Year Founded
$291.8MTotal Funding
SERIES_BCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
201-500Employees
Benefits
Health Insurance
Unlimited Paid Time Off
Flexible Work Hours
Remote Work Options
Stock Options
Home Office Stipend
Risks
Redpanda Serverless poses a competitive threat in real-time data processing.
Integration challenges with PeerDB may delay expected benefits.
Dependency on Supabase could pose operational risks.
Differentiation
ClickHouse's column-oriented design offers superior speed for analytical queries.
The open-source model allows flexible deployment across various environments.
Integration with Grafana enhances data visualization capabilities.
Upsides
Partnership with Alibaba Cloud boosts presence in the Chinese market.
Acquisition of PeerDB enhances real-time analytics capabilities.
Launch of ClickPipes improves data processing efficiency for real-time updates.
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