Data Engineer (Google Cloud Platform | BigQuery | Data Engineering)

Overview

Data Engineer

Data Engineering & Analytics Team

Google Cloud Platform (Gcp)

Bigquery

Informatica Idmc

1. Enterprise Data Engineering & Ingestion

• Design, build, and optimize scalable batch and real-time data pipelines on

Google Cloud Platform (Gcp)

• .
• Develop reusable and parameterized ingestion pipelines using

BigQuery, GCS, Dataflow, Datastream, Cloud Run

Informatica Idmc

• .
• Implement

Cdc (Change Data Capture)

• patterns, schema evolution, idempotent processing, and late-arriving data handling.
• Optimize ingestion strategies through partitioning, clustering, and efficient data loading methods.

2. Data Transformation & Modeling

• Profile source systems and assess data quality and patterns.
• Design
• source-to-target mappings
• , transformation logic, joins, aggregations, and business rules.
• Implement transformation pipelines using

Bigquery Sql

Dataflow

Idmc

• .
• Build analytics-ready datasets for reporting and business consumption.

3. Workflow Orchestration & Reliability Engineering

• Build and automate end-to-end workflows using

Cloud Composer (Airflow)

Informatica Taskflows

• .
• Define scheduling logic, SLAs, job dependencies, retries, failure handling, and restartability strategies.
• Implement monitoring, logging, and alerting using

Cloud Monitoring

Cloud Logging

4. Monitoring, Performance & Cost Optimization

• Monitor data pipeline health, freshness, runtime performance, and anomalies.
• Troubleshoot production issues and support pipelines during off-hours/weekends when required.
• Optimize
• BigQuery performance
• through query tuning, partitioning, clustering, caching, and materialized views.
• Manage GCP cost optimization strategies for storage, compute, and query efficiency.

Experience

• **5+ years of experience**
• as a

Data Engineer

Etl Developer

• , or similar role.
• Strong hands-on experience building
• production-grade, scalable data pipelines
• .
• Proven experience working in enterprise-scale data environments.

Technical Skills

• Strong expertise in

Google Cloud Platform (Gcp)

• , including:
• **BigQuery**
• **Google Cloud Storage (GCS)**
• **Dataflow**
• **Datastream**
• **Cloud Composer (Airflow)**
• **Cloud Monitoring**
• **IAM**
• Strong proficiency in

Sql (Bigquery-Optimized)

• .
• Strong understanding of
• data modeling for analytics
• .
• Experience with

Ci And Cd

• ,
• Git-based version control
• , and DevOps practices.
• Experience with
• CDC pipelines
• , orchestration, and enterprise ETL frameworks.
• Experience with
• Informatica IDMC (CDI / Taskflows / Mass Ingestion)
• is highly preferred.

Education

• Bachelor’s degree in

Computer Science, Information Technology, Information Systems

Additional Requirement

• Must be open to
• relocation to Jeddah, Saudi Arabia
• .