
Data Platform Developer
1 day ago
We are looking for an experienced Data Engineer to join our team and leverage their technical expertise in designing, building, and maintaining scalable data solutions.
The role involves working with distributed data platforms, cloud infrastructure, and modern data engineering tools to enable efficient data processing, storage, and analytics.
Your Technical Responsibilities- Design, develop, and maintain data pipelines and workflows on distributed data platforms such as BigQuery, Hadoop/EMR/DataProc, or Teradata.
- Build and optimize cloud-based solutions using AWS or GCP to process and store large-scale datasets.
- Design and manage workflows and data pipelines using Apache Airflow to ensure scalability, reliability, and maintainability.
- Implement containerization and orchestration using Kubernetes for efficient scalability and resource management.
- Work with event streaming systems using Kafka to implement reliable and scalable data processing.
- Write clean, efficient, and maintainable code in Python and SQL to automate data processing, transformation, and analytics tasks.
- Optimize relational and non-relational databases for high-performance querying and analytics.
- Participate in system monitoring, incident addressing, and production environment reliability.
- Collaborate with cross-functional teams to deliver data-driven solutions.
You will work with cutting-edge technologies, contribute to your growth, and be part of a vibrant culture of learning and collaboration.
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Lead Azure Data Platform Developer
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Senior Data Platform Expert
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Engineering Director
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Data Platform Engineering Manager
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Senior Software Developer Data Platform
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Cloud Data Platform Engineer
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