Data Engineer Senior (Hybrid Position)

Position: Hybrid (3 days in office, 2 days remote).

Experience

5+ years of experience in data engineering.

Knowledge

Data architecture in Azure, Spark optimization in Databricks, security and governance, data strategy design.

Tools

Azure Databricks, Delta Lake, Python, SQL, advanced Git.

Deliverables

• Data architecture design in Azure.
• Process optimization.
• Governance strategies and cost reduction.

Certifications

Recommended: DP-203, Databricks Certified Data Engineer Professional.

Language

Advanced conversational English.

Requirements

Minimum education: Bachelor's degree in an approved field.

5 years of relevant experience.

Proficiency in English.