
Principal / Senior Data Engineer – Product Development
14 hours ago
Are you passionate about building large-scale, data-intensive distributed systems
Were looking for a Principal / Senior Data Engineer to work on cutting-edge data ingestion pipelines and distributed product engineering for one of the worlds leading graph data science companies.
Roles & Responsibilities
Understand design specifications and follow best practices for core product engineering.
Build data ingestion pipelines for distributed systems with parallel processing in Golang, C++, or Java.
Develop solutions for:
o Ingestion from cloud storage (Amazon S3, Azure, GCP), databases (Snowflake, BigQuery, PostgreSQL), files, Kafka, data lakehouse (Iceberg).
o High-availability (HA) loading, cross-region replication.
o Monitoring/error reporting of ingestion processes.
o Third-party integrations: Kafka, Kafka Connect.
Collaborate in Agile teams and contribute to CI/CD workflows.
Proficiency & Skills
Must Have
Strong knowledge of distributed systems for large-scale, data-intensive applications.
Proficiency in Java or Golang.
Deep expertise in Kafka (Kafka Connect, Kafka Streams, Kafka Security/Customization).
Hands-on experience with Apache Spark & building Spark connectors.
Linux fundamentals & shell scripting.
Nice to Have
gRPC protocol & multi-threaded programming.
Zookeeper / ETCD / Consul.
Docker & Kubernetes.
Familiarity with distributed consensus algorithms (Paxos / Raft).
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