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