Data Engineer

TPAY

Employer Active

Posted on 18 Dec

Experience

0 - 3 Years

Job Location

Egypt - Egypt

Education

Bachelor of Science(Computers)

Nationality

Any Nationality

Gender

Not Mentioned

Vacancy

1 Vacancy

Job Description

Roles & Responsibilities

Develop and maintain Python ETL pipelines to ensure reliable data flow.

Support data warehouse operations, including modeling, loading, and optimizing queries.

Investigate and resolve data discrepancies to maintain accuracy and integrity.

Assist in data archiving processes to ensure compliance and efficient storage.

Collaborate with senior engineers and analysts to prepare datasets for reporting and machine learning models.

Python development capabilities for building and maintaining ETL workflows.

Proficiency in SQL for querying, transforming, and validating large datasets.

Understanding of data warehouse concepts

Analytical and problem-solving skills for investigating data issues.

Attention to detail in ensuring data quality and consistency.

Data integration and cleansing.

Problem solving.

Performance optimization of data workflow.

BSc in Computer Science, Engineering, or a similar field.

0-3 years of experience in related positions.

Desired Candidate Profile

Qualifications:

  • Python development capabilities for building and maintaining ETL workflows.
  • Proficiency in SQL for querying, transforming, and validating large datasets.
  • Understanding of data warehouse concepts
  • Analytical and problem-solving skills for investigating data issues.
  • Attention to detail in ensuring data quality and consistency.
  • Data integration and cleansing.
  • Problem solving.
  • Performance optimization of data workflow.
  • BSc in Computer Science, Engineering, or a similar field.
  • 0-3 years of experience in related positions.

Bonus Qualifications:

  • Knowledge of data archiving concepts and best practices.
  • Exposure to data science workflows (data cleaning, feature engineering, exploratory analysis).
  • Experience with data visualization tools (Looker, Power BI, Tableau).
  • Familiarity with AI frameworks (TensorFlow, PyTorch, Scikit learn).
  • Exposure to big data tools (Spark, Hadoop) or workflow orchestration tools (Airflow, Prefect).
  • Exposure to machine learning concepts through academic or online courses.
  • Participation in online platforms (Coursera, Udemy, DataCamp) for Python, SQL, or data engineering.
  • Coursework or certifications in Data Science, Machine Learning, or Artificial Intelligence.

Company Industry

  • Internet
  • E-commerce
  • Dotcom

Department / Functional Area

  • IT Software

Keywords

  • Data Engineer

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TPAY

https://tpaymobile.com/contact-us/

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