Data Engineer

4 weeks ago


Bengaluru, Karnataka, India Tether Operations Limited Full time
About Tether Operations Limited

Tether Operations Limited is a leading innovator in the fintech industry, pushing the boundaries of what is possible with advanced AI technologies. Our commitment to making these technologies more accessible has led to significant investments in AI infrastructure, positioning us for ambitious AI projects.

Job Title: Data Engineer

We are seeking a highly skilled Data Engineer to join our dynamic team, operating entirely remotely and uniting talent from every corner of the globe. This role involves building AI solutions across the spectrum, from large-scale models designed for advanced applications to smaller, highly performant models tailored for efficiency on edge devices.

Key Responsibilities:
  • Design, build, and maintain efficient, reusable, and reliable Python code to construct data pipelines.
  • Work closely with data scientists and analysts to understand and fulfill their data requirements.
  • Ensure the performance, quality, and responsiveness of data pipelines.
  • Identify bottlenecks and bugs, and devise solutions to these problems.
  • Maintain code quality, organization, and automatization.
  • Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality.
  • Collaborate with teams to integrate systems.
Requirements:
  • 4+ years of experience in a Data Engineer role.
  • Strong programming skills in Python.
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases.
  • Strong analytic skills related to working with unstructured datasets.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
Preferred Qualifications:
  • Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
  • Experience with machine learning algorithms and libraries.
  • Familiarity with data visualization tools.

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