Data Engineer

Description:

Required Skills & Experience

• Primary Technologies: Apache Airflow, Apache Spark, Trino/Presto, Python (Advanced)
• ETL & Pipeline Tools: Airbyte, custom ETL development, data pipeline orchestration
• Storage: Cloud storage (S3/equivalent), distributed data systems
• Infrastructure: Kubernetes, Docker, CI/CD pipelines
• Experience: 4+ years data engineering, large-scale data processing, real-time data pipelines