Mid-Level Big Data Developer

📋 Description

• Design, develop, maintain, and optimize ETL and data transformation processes
• Develop and maintain Apache Spark-based data pipelines
• Contribute to data integration initiatives across the platform
• Analyze, troubleshoot, and resolve data-related issues
• Ensure data quality, reliability, and performance across data processing solutions
• Develop and optimize SQL queries for data extraction, transformation, and analysis

🎯 Requirements

• 3+ years of professional experience in data development and programming
• Strong knowledge of SQL (ANSI SQL, Hive SQL, Spark SQL)
• Hands-on experience with Apache Spark and at least one language: Scala, Python, or Java
• Experience with at least one Big Data environment: Azure Databricks, Amazon EMR, Hive, Cloudera or
• Experience with Qlik Sense and reporting solutions
• Experience working in Agile, CI, and DevOps environments

🎁 Benefits

• Remote position; CET working hours
• Join a multicultural team on international projects
• Opportunity to work with leading technologies and platforms