Freelance Big Data Engineer (DBT, BigQuery, Kubernetes)

Role Overview

We are hiring a Big Data Engineer with strong hands-on experience in DBT, Google BigQuery, and Kubernetes. The ideal candidate will work on building scalable data pipelines, managing cloud data platforms, and enabling real-time and batch data processing.

Key Responsibilities

• Design, build, and maintain scalable data pipelines using Apache Airflow DAGs
• Develop and optimize transformations using DBT (Data Build Tool)
• Work extensively with Google BigQuery for data warehousing and analytics
• Manage and deploy workloads on Kubernetes clusters
• Implement real-time data streaming using Apache Kafka
• Write efficient and optimized queries using SQL
• Develop data processing scripts and automation using Python
• Collaborate with cross-functional teams for data integration and reporting
• Maintain version control and CI/CD workflows using GitHub

Required Skills & Experience

• 5+ years of experience in Data Engineering / Big Data
• Strong expertise in:
• DBT (mandatory)
• Google BigQuery (mandatory)
• Kubernetes / Cluster management (mandatory)
• Hands-on experience with:
• Apache Airflow (DAGs)
• Kafka Streaming
• GCP Cloud Platform
• SQL (advanced level)
• Python (data processing)
• GitHub (version control)

Good to Have

• Experience with CI/CD pipelines
• Exposure to data lake / warehouse architectures
• Knowledge of monitoring and logging tools

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