Data Engineer II

📋 Description

• Build scalable data pipelines for high volume data
• Ingest from MySQL and real-time Kafka streams
• Design data models in Redshift and optimise SQL
• Contribute to cloud migration and new data architecture
• Collaborate with cross-functional teams globally
• Embed data quality, reliability, observability, and security

🎯 Requirements

• 2–3 years of professional experience in Data Engineering
• Strong SQL expertise and datamodelling
• Solid Python for data engineering and pipelines
• Hands-on with AWS services (Redshift, Lambda, Glue, S3) and Airflow
• Familiarity with dbt and modern transformation practices
• Collaborative mindset and ownership

🎁 Benefits

• Competitive salaries and performance bonuses
• Medical coverage and wellness programs
• Hybrid working environment and upskilling support