Data Platform Engineer

Що робити

Take the lead in developing, testing, and maintaining scalable Python solutions for data ingestion, transformation, and processing across both batch and streaming environments.
Create and improve data models and transformation processes that support advanced analytics and changing business intelligence requirements while maintaining strong data quality and performance.
Develop, optimize, and monitor high-throughput ETL/ELT pipelines using AWS DMS, Kinesis, and other data integration technologies.
Investigate data pipeline failures and performance issues, identify their underlying causes, and introduce preventative measures to improve reliability and protect data integrity.
Support junior engineers through mentoring and establish clear documentation practices for code, data models, and engineering processes to promote knowledge sharing and consistency.

You take responsibility for the systems you work on and stay engaged until a problem is fully resolved. When an issue appears, you’re willing to investigate beyond your immediate area of responsibility to identify the underlying cause and make sure it is properly addressed.
You care about building reliable, maintainable solutions and continuously look for opportunities to improve system performance, scalability, and efficiency. You approach challenges proactively, focus on delivering results, and are motivated by creating solutions that provide a positive experience for customers.

Знайдено через trackr.help/jobs · Канал: @trackrhelp · Бот для персональних сповіщень: @trackrhelpBot