Description:
Looking for a career where innovation meets compassion? Join a team that’s shaping the future of healthcare with cutting-edge technology and a commitment to excellence. We’re searching for driven, passionate individuals ready to make a real difference. If you’re ready to thrive in a dynamic, professional environment where your skills are valued, your growth is supported, and your work matters, then this is your opportunity! Apply today and be part of something extraordinary. We are seeking a highly skilled and experienced Data Engineer to join our team. In this role, you will be responsible for developing and maintaining scalable, secure, and repeatable data pipelines. You will manage data platforms, ensuring the accuracy and accessibility of data for reporting and analysis across the business.Key Responsibilities:
- Implement and maintain scalable data pipelines.
- Ensure data quality and accuracy for reporting and analysis.
- Develop prototypes and solutions for data science projects.
- Work with large datasets and complex data systems.
- Apply technologies to solve big data challenges.
Requirements:
- Bachelor’s degree in computer science, Engineering, Mathematics, Statistics, or related field.
- Minimum 5 years of experience in data engineering.
- Strong skills in SQL and relational databases.
- Data engineering certifications (Python, AWS, Hadoop, etc.) are a plus.
- Experience in project management or consulting in cross-functional projects.
If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.
For more information contact:
momolefe@networkfinance.com
Specialist Recruitment Consultant
Requirements:
- Implement and maintain scalable data pipelines.
- Ensure data quality and accuracy for reporting and analysis.
- Develop prototypes and solutions for data science projects.
- Work with large datasets and complex data systems.
- Apply technologies to solve big data challenges.
- Bachelor’s degree in computer science, Engineering, Mathematics, Statistics, or related field.
- Minimum 5 years of experience in data engineering.
- Strong skills in SQL and relational databases.
- Data engineering certifications (Python, AWS, Hadoop, etc.) are a plus.
- Experience in project management or consulting in cross-functional projects.
27 Feb 2025;
from:
careers24.com