Data Engineers

• Design and implement robust ETL/ELT processes to extract transform and load data from various sources into data warehouses and lakes.
  
• Manage and optimize data pipelines for performance and reliability.
  
• Conduct data preprocessing and cleaning to ensure data quality and integrity.
  
• Collaborate with crossfunctional teams to understand data requirements and deliver timely solutions.
  
• Handle both structured and unstructured data from various databases including Oracle MySQL MongoDB and DB2.
  
• Utilize tools like Jupyter Notebook and Power BI for data analysis and visualization.
  
• Develop and maintain documentation for data engineering processes and workflows.
  
• Monitor and troubleshoot data pipeline issues and implement solutions for continuous improvement.
  

Requirements

• Bachelor s degree in Computer Science Information Technology or a related field.
  
• 5 years of handson experience as a Data Engineer or in a similar role.
  
• Strong expertise in ETL/ELT processes and data preprocessing techniques.
  
• Proficient in working with databases: Oracle MySQL MongoDB and DB2.
  
• Solid experience with data pipeline management and orchestration tools.
  
• Strong programming skills in Python and PySpark; familiarity with Scala is a plus.
  
• Experience using VS Code for development.
  
• Ability to handle structured and unstructured data effectively.
  
• Familiarity with data visualization tools especially Power BI.
  
• Excellent problemsolving skills and attention to detail.
  

Preferred Qualifications:

• Experience with cloudbased data platforms (e.g. AWS Azure) is a plus.
  
• Understanding of data warehousing concepts and best practices.
  
• Knowledge of big data technologies and frameworks.