Data Engineer Analyst

📋 Description

• Design, build, and maintain scalable data pipelines and ingestion frameworks supporting batch
• Develop and optimize data processing workflows using Apache Spark and PySpark, ensuring reliable
• Implement and manage data lake architectures on AWS, leveraging S3 as the primary storage layer and
• Work with AWS-native services including Glue for ETL orchestration, Athena for serverless querying
• Manage data access controls and security configurations using AWS IAM, ensuring compliant and
• Collaborate with data analysts, data scientists, and platform engineers to understand data

🎯 Requirements

• Advanced hands-on experience with AWS services, including AWS Glue, Amazon S3, Amazon Athena, AWS
• Apache Spark / PySpark for data processing
• Data lake architectures, ideally with knowledge of Apache Iceberg
• Data ingestion patterns, including batch processing, streaming, and CDC patterns
• Experience with SQL for data querying, validation, and exploratory analysis
• Solid understanding of data modeling and large-scale data processing

🎁 Benefits

• Every day lunches at headquarters with vegetarian, vegan, gluten-free, and sugar-free options
• Flexible working options
• All equipment needed (Macbook and accessories)
• Snacks and beverages available daily at headquarters
• After-office events, football, tennis, and game nights; football league on Wednesdays and Fridays
• Chess championships, game nights, and music nights