🛠 Tech Stack

💼 About This Role

You'll architect and maintain scalable data pipelines on Google Cloud Platform using services like Dataflow and BigQuery. Your work will empower data teams with high-quality, analysis-ready datasets and a central data warehouse. This role offers the chance to build a data ecosystem from the ground up at a growing data product company serving Fortune 500 clients.

🎯 What You'll Do

• Design and maintain batch and real-time ETL/ELT pipelines on GCP.
• Develop and manage data warehouse in Google BigQuery.
• Write SQL and Python code to transform raw data into curated datasets.
• Monitor and optimize data infrastructure for performance and cost.
• Implement automated data quality checks and monitoring.

📋 Requirements

• 3-5+ years of hands-on data engineering experience.
• Strong proficiency in Python or Java for data processing.
• Expert SQL skills for complex data manipulation and optimization.
• Proven expertise in Google BigQuery for data warehousing.
• Experience with GCP data services like Dataflow, Pub/Sub, Cloud Composer.

✨ Nice to Have

• Experience with BI tools like Looker (LookML is a plus).
• Familiarity with modern data stack tools like dbt or Dataform.
• Knowledge of Terraform for infrastructure as code.
• Google Cloud Professional Data Engineer certification.

🎁 Benefits & Perks

• 🏖️ Flexible work arrangements
• 💰 Competitive compensation package
• 📈 Professional development opportunities
• 🏥 Health insurance coverage