Job description
Job Summary: We are looking a highly skilled data engineer with expertise in Hadoop, Hive, and Machine Learning to join our team. They will also be responsible for developing and implementing complex algorithms and statistical models that enable our systems to make data-driven decisions.
Responsibilities:
- Design, build and maintain scalable, high-performance data processing pipelines using Hadoop, Hive, and other big data technologies.
- Develop and implement complex algorithms and statistical models to enable data-driven decision-making.
- Collaborate with data scientists and business analysts to understand business requirements and translate them into technical solutions.
- Optimize data pipelines for maximum throughput and efficiency. - Develop monitoring and alerting systems for data pipelines to ensure data quality and reliability.
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| Lead Data Engineer |
- Develop and maintain documentation of data pipelines and data models. Requirements: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- At least 7 years of experience in designing, building, and maintaining data processing pipelines using Hadoop, Hive, and other big data technologies.
- Strong programming skills in Java, Python or Scala. Strong knowledge of machine learning algorithms and techniques.
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills
Data Engineer
IT Services & Consulting
Data Science & Analytics
Full Time, Permanent
Data Science & Machine Learning
Education
Any Graduate
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