🛠 Tech Stack

💼 About This Role

You'll design and build automation solutions for data quality processes at a global data and analytics company. Your work will transform manual workflows into scalable, automated pipelines that improve accuracy and timeliness. This role offers the chance to partner across teams and make a direct impact on enterprise data quality.

🎯 What You'll Do

• Design and build automation for manual data quality processes.
• Translate data quality rules into scalable, automated pipelines.
• Automate monitoring, alerting, and reporting workflows.
• Implement logging, metrics, and dashboards for auditability.

📋 Requirements

• Bachelor's degree in computer science or equivalent experience.
• Strong experience with data engineering or data automation.
• Proficiency in SQL and at least one data processing language (Python, Java).
• Familiarity with Airflow, GCP Composer, and Terraform.

✨ Nice to Have

• Experience with DevOps practices (CI/CD, monitoring).
• Experience automating data quality at enterprise scale.
• Experience with cloud-based data platforms and distributed systems.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min