Senior Data Engineer | (Spark + Databricks) Hybrid Setup

📋 Description

• Design, develop, and maintain scalable data pipelines and ETL workflows
• Build data warehouses and data lakes for analytics
• Collaborate with data scientists and analysts to meet data needs
• Ensure data quality, consistency, and reliability across systems
• Develop robust data models and table schemas
• Optimize SQL queries and data retrieval performance

🎯 Requirements

• Bachelor's degree in Computer Science or related field
• 5+ years of data engineering experience
• Proficiency in Python, Java, or Scala
• Hands-on with Hadoop, Spark, and Hive
• Strong SQL and experience with relational and NoSQL databases
• Experience with cloud platforms AWS and Azure

🎁 Benefits

• HMO Coverage: Up to ₱250,000 per illness per year, with 2 dependents
• Paid Leaves: Year 1 12 VL and 10 SL; Year 2+ 20 VL and 10 SL
• Leave Conversion: Up to 5 unused leaves may be converted or carried over
• Pantry Perks: Complimentary coffee, milk, chocolate, and snacks
• Access to 20,000+ online courses via Unico Skill within 7 days of joining