Data Engineer Senior

Key Responsibilities: - Design, develop, and optimize data pipelines and ETL processes. - Implement scalable big data solutions using AWS, Spark, Scala, Java, and Airflow. - Collaborate with data scientists and analysts to ensure efficient data processing and analysis. - Maintain and improve data architecture, ensuring reliability and performance. -Troubleshoot and resolve data quality and performance issues in existing pipelines. - Ensure best practices for security, compliance, and governance in data engineering. Qualifications & Requirements: - Proficiency in AWS cloud services (Lambda, S3, Redshift, Glue, etc.). - Strong experience with Spark for large-scale data processing. - Expertise in Scala and Java for backend data engineering. - Hands-on experience with Airflow for workflow automation. Soft Skills: - Excellent communication skills in English (B2 Medium+ to C1 Advanced-).