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We're Hiring!

Senior Data Engineer

Job Descriptions:

  • Analyze the business problems, design dataset requirements, manage and identify the way to improve reliability, efficiency, and quality of the dataset.
  • Curate and maintain data products that assist in building, optimizing, and improving algorithms’ productivity.
  • Find hidden patterns in data by machine learning and statistical methods.
  • Analyze machine learning system results: provide statistical reports, performance metrics, the impact of errors, correlation of data and performance and so on for leading to the improvement.
  • Lead the design, evaluation, implementation, optimizing data delivery, and deployment of the tools and processes for data warehouse, data transformation, data structures, metadata, etc.
  • Lead the process improvement for designing, creating, and maintaining optimal data pipelines.
  • Work closely with the business development team to identify the business requirements and deliver the outputs.
  • Work closely with the annotator team to ensure the quality of dataset and ground truth.
  • Work closely with machine learning engineers throughout the machine learning development cycle.


Qualifications:

  • 3+ years of experience in Data Engineer/similar role or equivalent skill and competencies.
  • Strong in machine learning algorithms for data analysis, finding hidden patterns, bringing the insights from data.
  • Experience in root cause analysis, data processing to answer specific domains and identify opportunities for improvement.
  • Strong analytic skills with unstructured datasets.
  • Experience in building and optimizing data pipelines, stream processing, queuing, and scalable data warehouses.
  • Strong Python programming for data processing and analysis.
  • Excellent interpersonal, analytical, organizational, and critical-thinking skills.
  • Nice to have: experience in test case design and execution

APPLY NOW