Big Data Engineer

AI overview

Develop and maintain ETL pipelines and data integration services using Python and SQL while collaborating with senior engineers on architecture and performance optimization.

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