Times World Information Technology Data Engineer

Website Times World Information Technology

Job Description:

  • Seeking an experienced Data Engineer with analytical skills and expertise in combining data from various sources.
  • Responsible for assembling complex data sets, implementing process improvements, building data systems and pipelines, developing algorithms, and enhancing data quality.
  • Collaboration with data scientists and architects on multiple projects.
  • Assemble large, complex data sets meeting functional/non-functional business requirements.
  • Identify, design, and implement internal process improvements, including automation and infrastructure redesign.
  • Build data systems, pipelines, and algorithms.
  • Combine raw information from various sources and explore ways to enhance data quality and reliability.
  • Identify opportunities for data acquisition and develop analytical tools and programs.
  • Collaborate with data scientists and architects on various projects.


Qualifications / Experience :

  • Previous experience as a data engineer or in a similar role.
  • Technical expertise in data models, data mining, and segmentation techniques.
  • Proficiency in programming languages such as .NET, PHP, Java, and Python.
  • Hands-on experience with SQL database design, schema design, and dimensional data modeling.
  • Familiarity with query optimization and tuning methodologies.
  • Experience with large and complex data sets, as well as analyzing large volumes of data.
  • Knowledge of Agile software development methodologies.
  • Degree in Computer Science, IT, or a similar field.
  • Excellent verbal communication skills, problem-solving abilities, and attention to detail.

Role: Data Engineer
Industry Type: IT Services & Consulting
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning


  • UG: Any Graduate
  • PG: Any Postgraduate

Key Skills: Data Management, Database Design, Information Security, Agile, PHP, Business Intelligence, Data Mining, Information Technology, Analytics, Python

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