Senior Data Engineer - External

Job Summary:

We are seeking an experienced Data Engineer (GCP) to design, build, and maintain scalable, high-performance data solutions on Google Cloud Platform. The ideal candidate will have strong expertise in BigQuery, Apache Airflow, SQL, and Python or Java, with a proven ability to develop robust data pipelines that support analytics and business intelligence initiatives.

Key Responsibilities

• Design, develop, and optimize scalable data pipelines on Google Cloud Platform (GCP).
  
• Build and manage data solutions using BigQuery for large-scale data processing and analytics.
  
• Orchestrate and schedule workflows using Apache Airflow.
  
• Develop data processing logic using Python or Java.
  
• Write optimized and complex SQL queries for data transformation and reporting.
  
• Ensure data quality, performance, security, and reliability across data systems.
  
• Collaborate with data scientists, analysts, and business stakeholders to support data-driven initiatives.
  
• Troubleshoot data issues and continuously improve pipeline efficiency and scalability
  

Required Skills & Qualifications:

• 6-8 Years of experience with Data Engineer
  
• Strong hands-on experience with Google Cloud Platform (GCP).
  
• Expertise in BigQuery for data warehousing and analytics.
  
• Experience with Apache Airflow for workflow orchestration.
  
• Proficiency in Python or Java for data engineering tasks.
  
• Strong SQL skills for data modeling and transformations.
  
• Solid understanding of ETL/ELT processes, data architecture, and cloud-native data platforms.
  

Preferred Skills:

• Experience with GCP services such as Cloud Storage, Dataflow, Pub/Sub, or Composer.
  
• Knowledge of data governance, monitoring, and performance tuning on cloud platforms.