Big Data Engineer

• Develop and maintain ETL pipelines and data integration services using Python and SQL
• Work with AWS services (S3, DynamoDB, Lambda, Glue) and NoSQL databases (MongoDB, DynamoDB)
• Design, optimize, and validate data flows, ensuring data quality across systems
• Collaborate with Senior engineers on architecture and performance improvements
• Troubleshoot production data issues and perform root cause analyses.
• Contribute to the continuous improvement of development practices and performance monitoring

• 2-4 years of experience as a Data Engineer or Back-end Developer
• Strong hands-on experience with Python and SQL
• Experience with AWS data services (S3, DynamoDB, Lambda, Glue)
• Familiarity with NoSQL databases and API integrations
• Basic understanding of PySpark or similar distributed frameworks
• Analytical mindset and proactive problem-solving skills
• Fluent in English (Upper-Intermediate level or higher)

WILL BE A PLUS

• Experience with Airflow or other orchestration tools
• Interest in big data performance tuning and cloud optimization

PERSONAL PROFILE

• Strong communication and collaboration skills
• Self-motivated, responsible, and able to work independently