Data Engineer

We are seeking experienced Data Engineers with strong expertise in Google Cloud Platform (Google Cloud Platform) to design, develop, and maintain scalable data pipelines and modern cloud-based data platforms. The ideal candidate should have hands-on experience with BigQuery, Apache Airflow, SQL, DBT (Data Build Tool), and Google Cloud Platform services.

Required Skills

• 5+ years (Developer) / 6–10 years (Lead) of Data Engineering experience.
• Strong hands-on experience with Google Cloud Platform (Google Cloud Platform).
• Expertise in BigQuery for data warehousing and analytics.
• Experience developing and maintaining workflows using Apache Airflow.
• Advanced SQL skills for complex queries and performance optimization.
• Hands-on experience with DBT (Data Build Tool) for data transformation.
• Experience building scalable ETL/ELT pipelines.
• Knowledge of data modeling, data warehousing, and dimensional modeling.
• Experience with Git and CI/CD practices.
• Strong debugging, optimization, and performance tuning skills.

Preferred Skills

• Python for data engineering and automation.
• Experience with Cloud Composer, Cloud Storage, Pub/Sub, or Dataflow.
• Familiarity with Agile/Scrum methodologies.
• Excellent communication and collaboration skills.

Responsibilities

• Design, develop, and optimize cloud-native data pipelines on Google Cloud Platform.
• Build and maintain ELT workflows using DBT and Airflow.
• Develop scalable data models in BigQuery.
• Optimize SQL queries and improve data processing performance.
• Collaborate with analytics, BI, and application teams to deliver high-quality data solutions.
• Monitor, troubleshoot, and enhance production data pipelines.
• Mentor junior engineers (Lead role).
  
  

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