Senior Apache Iceberg Engineer

BairesDev

Guanajuato

On-site

MXN 2,251,000 - 3,189,000

Full time

2 days ago
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Benefits offered by this job

USD compensation option
Parental leave
Vacation & holidays
Multicultural environment
Mentorship & growth opportunities

Job summary

BairesDev is seeking an Apache Iceberg Developer to work on distributed data table formats and metadata systems. You will focus on schema evolution, partitioning, and scalable table architecture, contributing to Iceberg and related ecosystems.

You will collaborate with global teams, work on Spark, Flink, and Hive integrations for batch and streaming workloads, and join a multicultural environment with strong mentorship and growth opportunities.

Qualifications

  • 10+ years of software development experience.
  • Strong distributed computing and big data processing expertise.
  • Deep knowledge of Apache Iceberg architecture, schema evolution, partitioning.
  • Proficiency in Java; Scala or Python for ecosystem integrations.
  • Experience in performance tuning of metadata-heavy systems.
  • Core contributions to Apache open source projects (Iceberg, Spark, Hive, Flink).
  • Advanced level of English.

Responsibilities

  • Contribute actively to Apache Iceberg and related open source projects as a core contributor.
  • Implement and optimize table formats, snapshots, partitioning, and metadata management.
  • Support integrations with processing engines like Spark, Flink, and Hive for batch and streaming workloads.
  • Collaborate with engineering teams on system integration and deployment.

Skills

Java
Distributed systems
Open source
English (Advanced)
Big data processing

Tools

Apache Iceberg
Spark
Flink
Hive

Job description

BairesDev is seeking an Apache Iceberg Developer to work on distributed data table formats and metadata systems. You will focus on schema evolution, partitioning, and scalable table architecture, contributing to Iceberg and related ecosystems.

You will collaborate with global teams, work on Spark, Flink, and Hive integrations for batch and streaming workloads, and join a multicultural environment with strong mentorship and growth opportunities.

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