Senior Data Engineer Platform

What you bring in:

• 6+ years of hands-on experience in data engineering and large-scale distributed systems
• Proven expertise in building and maintaining complex ETL/ELT pipelines
• Deep knowledge of orchestration frameworks (e.g., Airflow), and workflow optimization
• Strong cloud infrastructure experience (GCP preferred; AWS or Azure also relevant)
• Expert-level programming in Python or Scala; solid understanding of Spark internals
• Experience with CI/CD tools (e.g., Jenkins, GitHub Actions) and infrastructure as code
• Familiarity with managing self-hosted tools like Spark or Airflow on Kubernetes
• Experience managing data warehouse in BigQuery or Redshift
• Strong communication skills and a proactive, problem-solving mindset