
Scalable Data Infrastructure Specialist
Há 3 dias
As a DataOps Engineer, you play a pivotal role in designing and implementing scalable data platforms. Key responsibilities include working with batch pipelines, automating processes, and building observability to ensure data quality.
Key areas of focus include maintaining scalable infrastructure, managing internal tools and frameworks for data ingestion and processing, collaborating with DevOps and Security teams, and ensuring high availability and performance of core data infrastructure through monitoring and alerting integrations.
Additionally, as a technical leader and mentor, you will support other engineers in developing solutions and promoting DataOps best practices. This includes contributing to the definition of data architectures, strategies across the organization, and design patterns.
Requirements- Experience with designing and implementing scalable data platforms using AWS, Kubernetes, EMR, and Redshift.
- Knowledge of batch (Airflow) and streaming (Kafka) pipelines.
- Proficiency in programming languages such as Python, Java, or C++.
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