Description

About You – Experience, Education, Skills, And Accomplishments

  • Bachelor /master’s degree in computer science, mathematics, data science or similar related discipline with 6+ years of proven track record in systems integration and building data Transformation services.
  • Experience in design, develop, and maintain robust, scalable, and efficient Python code.
  • Expertise in implementing the complex data processing pipelines and algorithms.
  • Analyze and interpret complex datasets to drive business insights and decision-making.
  • Work closely with data scientists and analysts to ensure data quality and relevance
  • Strong proficiency in Python and related libraries (e.g., Pandas, NumPy, Seaborn, MatplotLib, Flask).
  • Experience with data processing, ETL, and data pipeline development.
  • Knowledge of database systems (SQL and NoSQL).
  • Experience with CI/CD tools such as AWS Code Pipeline or Azure DevOps
  • Familiarity with containerization technologies such as Docker and Kubernetes.
     

It would be great if you also had . . .

  • Experience with machine learning libraries and frameworks (e.g., TensorFlow, Scikit-Learn).
  • Familiarity with Agile methodologies.
  • Deep knowledge of math, probability, statistics and algorithms
  • Outstanding analytical and problem-solving skills
  • Understanding of data structures, data modeling and software architecture
  • Expertise in visualizing and manipulating big datasets

 

 

What will you be doing in this role?

  • Designing and developing data processing and transformation engine
  • Review and optimize existing codebases to improve performance, reduce technical debt, and ensure scalability
  • Python code integrates seamlessly with other systems, services, and databases
  • Analyze complex datasets to extract meaningful insights, supporting decision-making processes across the organization.
  • Work closely with data scientists and analysts to ensure that data models and algorithms are correctly implemented, and that data is accurate, clean, and ready for processing.
  • Develop custom tools and scripts to facilitate data extraction, transformation, and loading (ETL) processes, making data accessible and usable for various business needs.
  • Design and implement data processing workflows that are efficient, reliable, and scalable, leveraging Python and its ecosystem of libraries.
  • Automate repetitive data processing tasks to streamline operations and reduce manual effort, allowing for faster and more consistent data handling.
  • Ensure that data processing tasks are performed with a high degree of accuracy and reliability, minimizing errors and ensuring data integrity.

Key Skills
Education

Bachelor /master’s degree in computer science

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