
Data Engineering Specialist
3 days ago
This role involves building, deploying, maintaining, and optimizing data infrastructure that supports our data-driven operations. You will work with large-scale data processing systems, ensuring they are robust, scalable, and high-performing in production environments.
Key Responsibilities- Design, develop, and maintain scalable data infrastructure solutions to support large-scale data processing and analytics.
- Deploy and configure distributed data systems, including data storage (e.g., HDFS, cloud storage) and data processing frameworks (e.g., Hadoop, Spark), ensuring they are resilient, optimized, and production-ready.
- Build and automate ETL workflows, managing data extraction, transformation, and loading processes to ensure data quality, consistency, and availability.
- Monitor the health and performance of data infrastructure, proactively troubleshooting and resolving performance bottlenecks and operational issues to maintain system stability.
- Optimize and scale infrastructure, leveraging containerization (e.g., Docker) and orchestration (e.g., Kubernetes) to manage resources efficiently and support growing data volumes.
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 2+ years of experience in building, deploying, and managing data infrastructure, particularly in distributed data systems.
- Proficiency in big data technologies, including Hadoop, Spark, Hive, or related frameworks.
- Strong programming skills in languages such as Python, Java, or Scala.
- Hands-on experience with cloud platforms (e.g., Google Cloud, AWS, Azure) and cloud storage solutions.
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Technical Safety Specialist
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Senior HSE Engineer
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Data Infrastructure Engineer
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Data Infrastructure Engineer
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Data Protection Specialist
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Technical Lead
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