Senior Data Engineer

Role Summary

We are seeking a Senior Data Engineer with expertise in building scalable and reliable data pipelines, particularly on Google Cloud Platform (GCP). The ideal candidate has hands-on experience with DBT, strong SQL skills, and a deep understanding of data transformation, modeling, and orchestration.

You will play a key role in architecting and maintaining robust data workflows that enable business intelligence and analytics teams to access clean, well-modeled data in a timely and efficient manner.

Key Responsibilities

• Design, develop, and maintain ETL/ELT pipelines on Google Cloud Platform
• Use DBT to transform and manage clean, modular, and reusable data models
• Collaborate with business stakeholders to define and refine data requirements
• Leverage Apache Airflow or Cloud Composer for workflow orchestration
• Work with various cloud data warehouses such as BigQuery, Snowflake, or Redshift
• Optimize data workflows for performance, reliability, and cost-effectiveness
• Ensure high standards in documentation, testing, and version control
• Contribute to and promote team best practices, code reviews, and continuous improvement

Required Skills & Experience

• 4+ years in data engineering or a related role
• 2+ years of experience working with GCP services (e.g., BigQuery, GCS, Dataflow)
• 1+ year of hands-on experience with DBT
• Proficient in SQL and data modeling concepts
• Experience with orchestration tools like Apache Airflow or Cloud Composer
• Strong understanding of data pipelines, modularity, and maintainability
• Ability to gather business requirements and translate them into technical solutions
• Exposure to Apache Spark, Kafka, or other big data/streaming tools (preferred)

Preferred Qualifications

• GCP certification (Associate Cloud Engineer or higher)
• Experience working in multi-cloud environments (GCP + AWS)
• Familiarity with CI/CD pipelines, version control systems like Git, and DevOps practices in data projects