Senior Data Engineer

📋 Description

• Design, build, and implement large-scale data pipelines using NiFi for analytics.
• Develop scalable NiFi ingestion pipelines in AWS for real-time and batch data.
• ETL development and warehousing using Python and Java with triggers/filters.
• Implement monitoring and error handling for observability.
• Establish unit tests across data pipelines for robustness.
• Collaborate with engineering teams to standardize methods and scalability.

🎯 Requirements

• Master’s degree in CS/CE or related field with 1 year data engineer exp.
• 1 year experience with Python, Java, Kafka, AWS, and Docker.
• ETL development and warehousing.
• SQL analytics/debugging.
• Agile development environment.
• Designing data architecture.

🎁 Benefits

• Telecommuting from anywhere in the U.S.
• Global collaboration with teams in Europe, Asia and the US.
• Flexible work hours with autonomy.
• Balanced structure and autonomy in daily tasks.
• Inclusive communities: Women in Tech and Pride.
• Global Employee Assistance Programme.
• Wellbeing apps and online training resources.