The Role
Develop and contribute to open-source lakehouse projects (Apache Iceberg and integrations). Implement Flink compatibility, Trino and Hive4 support, custom metastore client for BigLake, and cross-project compatibility tests. Prepare private code for open sourcing, participate in design, implementation, testing, and reviews, and collaborate with distributed engineering stakeholders. Provide technical leadership for senior/lead levels.
Summary Generated by Built In
We are looking for Middle / Senior / Lead Java Software Engineers to support and contribute to open-source data platform projects that promote a cloud lakehouse ecosystem. The team works on Apache Iceberg and adjacent OSS integrations, including Flink compatibility, Trino and Hive4 support, custom metastore client implementation, and cross-project compatibility testing.
Tasks
* Support Apache Flink and Iceberg v3 specification work, compatibility improvements, authentication gap fixes, and community-approved feature implementation;
* Add support for Trino and Hive4 in a custom IMetastoreClient implementation for BigLake;
* Implement compatibility test cases for Apache Iceberg across languages and projects;
* Work with private repository code that is being prepared for open sourcing;
* Contribute to technical design, implementation, testing, and review activities across the OSS support scope;
* Collaborate with engineering stakeholders and align implementation details with community consensus where needed.
Requirements
* Commercial Java engineering experience for data-intensive systems;
* Experience with Java data processing frameworks such as Flink, Spark, Kafka, or Beam;
* Understanding of data lake or lakehouse architecture;
* Hands-on experience with Google Cloud Platform services such as BigLake, KMS, or GCS ecosystem;
* Practical Python experience for tooling, tests, or integration work;
* Ability to work with compatibility testing, cross-system integrations, and open-source-oriented implementation workflows;
* Technical leadership experience for Lead-level candidates;
* Upper-Intermediate English level and clear communication with distributed engineering teams.
Nice to Have:
* Apache Iceberg experience;
* OSS community contribution experience;
* Cross-system integration experience.
Working Conditions:
Overlap: by 10AM PST. B2B contract
Locations: Egypt, Armenia, Kazakhstan, Georgia.
Tasks
* Support Apache Flink and Iceberg v3 specification work, compatibility improvements, authentication gap fixes, and community-approved feature implementation;
* Add support for Trino and Hive4 in a custom IMetastoreClient implementation for BigLake;
* Implement compatibility test cases for Apache Iceberg across languages and projects;
* Work with private repository code that is being prepared for open sourcing;
* Contribute to technical design, implementation, testing, and review activities across the OSS support scope;
* Collaborate with engineering stakeholders and align implementation details with community consensus where needed.
Requirements
* Commercial Java engineering experience for data-intensive systems;
* Experience with Java data processing frameworks such as Flink, Spark, Kafka, or Beam;
* Understanding of data lake or lakehouse architecture;
* Hands-on experience with Google Cloud Platform services such as BigLake, KMS, or GCS ecosystem;
* Practical Python experience for tooling, tests, or integration work;
* Ability to work with compatibility testing, cross-system integrations, and open-source-oriented implementation workflows;
* Technical leadership experience for Lead-level candidates;
* Upper-Intermediate English level and clear communication with distributed engineering teams.
Nice to Have:
* Apache Iceberg experience;
* OSS community contribution experience;
* Cross-system integration experience.
Working Conditions:
Overlap: by 10AM PST. B2B contract
Locations: Egypt, Armenia, Kazakhstan, Georgia.
Skills Required
- Commercial Java engineering experience for data-intensive systems.
- Experience with Java data processing frameworks such as Flink, Spark, Kafka, or Beam.
- Understanding of data lake or lakehouse architecture.
- Hands-on experience with Google Cloud Platform services such as BigLake, KMS, or GCS ecosystem.
- Practical Python experience for tooling, tests, or integration work.
- Ability to work with compatibility testing, cross-system integrations, and open-source-oriented implementation workflows.
- Technical leadership experience for Lead-level candidates.
- Upper-Intermediate English level and clear communication with distributed engineering teams.
- Apache Iceberg experience.
- OSS community contribution experience.
- Cross-system integration experience.
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The Company
What We Do
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