Senior Data Engineer
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El puesto
Design, develop, and maintain scalable data pipelines to process large data sets in real-time and batch environments.
Own ETL pipelines and collaborate with data scientists, analysts, and stakeholders to translate requirements into robust data solutions.
Implement best practices for data ingestion, transformation, and data quality to ensure data consistency and accuracy.
Develop, test, and deploy complex data models and ensure performance, reliability, and security of the infrastructure.
Own the architecture and design of data pipelines and systems, ensuring they can scale with growing data volumes and comply with privacy regulations (GDPR).
Promote self-serve analytics, drive data-driven decisions, and mentor teammates while solving complex problems.
Own ETL pipelines and collaborate with data scientists, analysts, and stakeholders to translate requirements into robust data solutions.
Implement best practices for data ingestion, transformation, and data quality to ensure data consistency and accuracy.
Develop, test, and deploy complex data models and ensure performance, reliability, and security of the infrastructure.
Own the architecture and design of data pipelines and systems, ensuring they can scale with growing data volumes and comply with privacy regulations (GDPR).
Promote self-serve analytics, drive data-driven decisions, and mentor teammates while solving complex problems.
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TeletrabajoPartial
CiudadBangalore, India