18P8UJ Data Engineer AWS

• Design and implement robust Data Warehouse and Data Lake architectures;
• Act as a technical leader in Data Analytics solutions;
• Define and develop data repository models tailored to various business needs;
• Build and maintain efficient data pipelines for ingestion, transformation, and storage;
• Support and influence architectural decisions across the Big Data ecosystem;
• Ensure secure, reliable, and performant data processes for multiple consumers;
• Identify technical risks and provide recommendations based on support team insights;
• Support performance testing and optimization initiatives;
• Contribute to the migration of legacy systems to modern cloud-based solutions.

Required Skills & Experience

Must-Haves:

• Hadoop, Spark (PySpark, Scala): Intermediate to advanced
• Python for Data Engineering: Advanced
• SQL: Advanced
• Git / GitFlow workflows: Interm...