Data Engineer

📋 Description

• Develop and maintain data processing pipelines and datamarts for business metrics.
• Build and optimize Databricks, EMR, Spark, and SQL jobs on AWS infrastructure.
• Deploy and operate production systems using DevOps principles and best practices.
• Support data consumers with query optimization and data quality issue resolution.
• Analyze and enhance performance of SQL queries and physical database schemas.
• Extract structured data from unstructured documents using modern techniques.

🎯 Requirements

• Advanced SQL skills and deep understanding of database technology and optimization.
• Experience with Databricks, cloud-based analytics technology, preferably AWS ecosystem.
• Proven track record building data pipelines, ETL processes, and workflow orchestration.
• Experience developing datamarts, data warehouses, and data modeling solutions.
• Knowledge of DevOps practices including deployments, monitoring, and system administration.
• Experience extracting structured data from unstructured documents and sources.

🎁 Benefits

• The opportunity to work from anywhere for up to 4 weeks per financial year
• Frequent events including sports days, annual year-end party, hackathon, and trivia
• Casual dress – every day