Senior Data Engineer

📋 Description

• Design, build, and own data products, reliable, scalable, well-documented pipelines and datasets
• Apply strong software engineering practices (clean code, testing, version control, CI/CD) to data
• Build horizontal, ML-driven data products, such as our OCR pipeline for document processing, our
• Define and uphold data product quality: implement quality checks, monitoring, alerts, and SLAs so
• Partner directly with the stakeholders who consume your data products to understand their needs
• Collaborate with business intelligence and analytics teams to turn business needs into data

🎯 Requirements

• 5+ years of experience in data engineering, software engineering, or DevOps
• Proficiency in workflow orchestrators such as Airflow, Dagster, or Prefect
• Experience with major data platforms including Snowflake, Databricks, BigQuery, or in-house
• Skilled at building data infrastructure using GCP, AWS, or comparable cloud providers
• Comfortable managing and deploying services on Kubernetes
• Practical experience with Terraform or Pulumi for automating infrastructure

🎁 Benefits

• Top-notch Private Healthcare Insurance for you and your family members
• Generous PTO policy
• Lunch at work
• Covered costs for parking for onsite staff
• Learning and development budget
• Paternity leave