N-iX

N-iX

N-iX is a global software development company that helps organizations achieve lasting business value through advanced technology solutions, serving various sectors with expertise in cloud, data analytics, and IoT.

Internet Software & Services
1K-5K
Founded 2002

Description

  • Architect and optimize scalable batching, job creation, and high-throughput ingestion pipelines on GCP.
  • Build serverless and containerized pipelines using BigQuery, Dataflow, Pub/Sub, Cloud Storage, and GKE.
  • Design CDC and incremental processing workflows for fast cross-platform delta synchronization.
  • Develop dbt transformation models and Airflow orchestrations using Data Vault and dimensional modeling patterns.
  • Implement hash keys, hash diffs, and other delta-tracking methods for row-level asset and metadata changes.
  • Optimize Snowflake integration layers, including deduplication, canonical content filtering, and policy restrictions.
  • Deploy and manage ClickHouse for high-concurrency analytics, indexing, and sub-second metadata retrieval.
  • Build integration views and API query layers for real-time delta consumption.
  • Enforce metadata standards, canonical asset mapping, and automated validation across multiple asset types.
  • Collaborate with teams integrating metadata pipelines with feature extraction, search, and licensing platforms.

Requirements

  • 4+ years of production experience with GCP data technologies, including BigQuery, Dataflow, Pub/Sub, GKE, and Cloud Storage.
  • Deep proficiency with Snowflake warehousing, semi-structured queries, and integration layers.
  • Deep proficiency with ClickHouse real-time aggregation, columnar storage, and indexing.
  • Experience architecting CDC pipelines and incremental loading for multi-terabyte datasets.
  • Hands-on mastery of dbt Core or Cloud and Apache Airflow in enterprise CI/CD environments such as GitHub Actions.
  • Advanced Python and SQL skills.
  • Familiarity with Go, Java, or Scala is preferred.
  • Experience with Data Vault 2.0, hash-key generation, and raw, staging, and integration layer design is preferred.
  • Experience with AI/ML metadata, computer vision feature vectors, C2PA provenance, or semantic search is preferred.
  • Familiarity with media metadata schemas or additional cloud platforms such as AWS, Azure, or Oracle Cloud is preferred.

Benefits

  • Flexible remote, office-based, or hybrid work arrangements.
  • Competitive salary and compensation package.
  • Personalized career growth opportunities.
  • Professional development through mentorship, tech talks, training, and centers of excellence.
  • Education reimbursement.
  • Active technical communities and knowledge-sharing programs.
  • Corporate events, team-building activities, anniversary gifts, and location-specific benefits.

Interested in this position?

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