< Back to Search Results

Data Research Engineer

  • Required Educational Qualification :
    BE/ B.Tech/M.Tech(IT/Computers)
  • Work Type :
    Experienced
  • Work Experience (in Years):
    2 to 5 years
  • Job Location :
    Bengaluru & Navi Mumbai (Mahape)
Job Description:
  1. Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities
  2. Carrying out code design and development on analytical projects for the full analytical stack
  3. Establish and assure compliance to database standards
  4. Leading team of data engineers and providing guidance and solution on the collecting, storing, processing, and analyzing of huge sets of data.
  5. The candidate will also be responsible for integrating them with the architecture used across the organization.
  6. Create data catalog, data flow diagrams and interprets data results to business users
  7. Develop ML and AI programs using GPU
  8. Developing programs in CUDA and MATLAB for Image processing or statistics.
  9. Design and Develop ETL routines between various databases
  10. It is also the role of the Data Engineer to oversee large-scale data Hadoop platforms and to support the fast-growing data within the business.
  11. Lead innovation through exploration, benchmarking, making recommendations, and implementing big data technologies for platforms.
  12. Selecting features, building and optimizing classifiers (data models) using machine learning.
  13. Enhancing data collection procedures to include information that is relevant for building analytic systems.
  14. Work with ML frameworks including scikit-learn, NumPy, SciPy, Keras, TensorFlow etc.
  15. Responsible for building Machine Learning architecture and solutions to maximize the interpretation of our data in order to provide reliable predictive models.
  16. Provide insight of business data and solve complicated domain problems with Machine Learning, Data Mining or Statistical Inference techniques.
  17. Research new technologies and approaches for presenting key business insights by analyzing Big Data
  18. Drafting Patents
Desired Skills & Experience:
  1. Advance knowledge of ML technologies like scikit-learn, NumPy, SciPy, Keras, TensorFlow etc.
  2. Able programmer in CUDA and MATLAB
  3. Strong knowledge in SQL and NoSQL databases
  4. Building and designing large-scale applications
  5. Database architecture and warehousing
  6. Data modeling and mining
  7. Statistical modeling and regression analysis
  8. Distributed computing and data storage
  9. Excellent knowledge of Hadoop
  10. Proficient in Python, C, C++
  11. Hadoop based analytics such as HBase, Hive, Pig and Map-Reduce
  12. OS administration skill for Windows and Linux Family OS.
  13. Excellent Documentation
Videos
1