Senior Data Engineer: GCP, CDC & Real-Time Analytics

N-iX; Union (NJ); A distancia; USD 150.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working arrangements

Competitive salary

Career growth

Mentorship program

Education reimbursement

Team events

Descripción de la vacante

N-iX is seeking a Senior Data Engineer to design, scale, and maintain high-performance ingestion, CDC, and delivery pipelines across a multi-cloud data platform. You will architect enterprise-grade data platforms for large-scale metadata, feature extraction, and licensable asset datasets.

The role leverages GCP as the core compute foundation, with Snowflake and ClickHouse for storage and analytics, plus dbt Core, Apache Airflow, Python, and SQL to build robust, auditable data pipelines for AI/ML

Formación

• Experience designing and implementing scalable ingestion pipelines on GCP.
• Proficient in CDC and incremental delta processing for large datasets.
• Hands-on with dbt Core and Airflow for ETL orchestration.
• Strong data modeling, data vault concepts, and metadata governance.

Responsabilidades

• Ingestion Architecture & GCP Foundation: Architect, build, and optimize scalable ingestion pipelines on GCP.
• Enterprise ETL, CDC & Incremental Processing: Design robust CDC workflows and hash-based delta tracking.
• Multi-Engine Analytics & Query Optimization: Maintain Snowflake and deploy ClickHouse for analytics.
• Data Quality, Governance & Scalability: Enforce schema standardization and integrate with feature extraction tools.

Conocimientos

Data modeling

ETL design

Cloud architecture

Python programming

SQL proficiency

Go/Java/Scala familiarity

Herramientas

GCP

Snowflake

ClickHouse

dbt Core

Apache Airflow

Python

SQL

BigQuery

Dataflow

Pub/Sub

GKE

Cloud Storage

Descripción del empleo

N-iX is seeking a Senior Data Engineer to design, scale, and maintain high-performance ingestion, CDC, and delivery pipelines across a multi-cloud data platform. You will architect enterprise-grade data platforms for large-scale metadata, feature extraction, and licensable asset datasets.

The role leverages GCP as the core compute foundation, with Snowflake and ClickHouse for storage and analytics, plus dbt Core, Apache Airflow, Python, and SQL to build robust, auditable data pipelines for AI/ML