Data Engineer

Description:

• Hire Resolve's client is seeking a Data Engineer who will play a critical role in shaping the foundation of their data infrastructure. This role offers an exciting opportunity to grow with the company and develop a diverse
  technical skillset across the stack.
  
  

• Design, build, and maintain relational databases for storing and managing structured data.

• Develop and optimize the data analysis engine to support internal insights and reporting.

• Create and maintain data pre-processing systems to clean and structure incoming datasets.

• Work with large volumes of raw data , including cleaning, transforming, and organizing it for usability.

• Handle routine data maintenance tasks such as backups, data loads, and exports.

• A degree in Engineering , Computer Science , or a related field.

• Solid knowledge of Python or Node.js .

• Working knowledge of SQL and database fundamentals.

• Familiarity with AWS cloud architecture and services (S3, Lambda, RDS).

• Exposure to data science tools or concepts, including Deep Learning or LLMs .

• Experience with low-code/no-code platforms like KNIME or Fowgear .

• Basic understanding of Git and GitHub for version control.

• Experience building or maintaining Power BI reports .

Benefits:

• Competitive salary based on experience (salary can potentially be more based on experience/skills)

IF you meet the above requirements and want to make a career-changing move, apply today by emailing your CV to itcareers@hireresolve.za.com

You can also connect with Daniel on LinkedIn or contact Hire Resolve
If you meet the above requirements we will contact you within 3 working days

Requirements:

• Hire Resolve's client is seeking a Data Engineer who will play a critical role in shaping the foundation of their data infrastructure. This role offers an exciting opportunity to grow with the company and develop a diverse
  technical skillset across the stack.
  
  

• Design, build, and maintain relational databases for storing and managing structured data.

• Develop and optimize the data analysis engine to support internal insights and reporting.

• Create and maintain data pre-processing systems to clean and structure incoming datasets.

• Work with large volumes of raw data , including cleaning, transforming, and organizing it for usability.

• Handle routine data maintenance tasks such as backups, data loads, and exports.

• A degree in Engineering , Computer Science , or a related field.

• Solid knowledge of Python or Node.js .

• Working knowledge of SQL and database fundamentals.

• Familiarity with AWS cloud architecture and services (S3, Lambda, RDS).

• Exposure to data science tools or concepts, including Deep Learning or LLMs .

• Experience with low-code/no-code platforms like KNIME or Fowgear .

• Basic understanding of Git and GitHub for version control.

• Experience building or maintaining Power BI reports .

Benefits:

• Competitive salary based on experience (salary can potentially be more based on experience/skills)

IF you meet the above requirements and want to make a career-changing move, apply today by emailing your CV to itcareers@hireresolve.za.com

You can also connect with Daniel on LinkedIn or contact Hire Resolve
If you meet the above requirements we will contact you within 3 working days

• Design, build, and maintain relational databases for storing and managing structured data.

• Develop and optimize the data analysis engine to support internal insights and reporting.

• Create and maintain data pre-processing systems to clean and structure incoming datasets.

• Work with large volumes of raw data , including cleaning, transforming, and organizing it for usability.

• Handle routine data maintenance tasks such as backups, data loads, and exports.

• A degree in Engineering , Computer Science , or a related field.

• Solid knowledge of Python or Node.js .

• Working knowledge of SQL and database fundamentals.

• Familiarity with AWS cloud architecture and services (S3, Lambda, RDS).

• Exposure to data science tools or concepts, including Deep Learning or LLMs .

• Experience with low-code/no-code platforms like KNIME or Fowgear .

• Basic understanding of Git and GitHub for version control.

• Experience building or maintaining Power BI reports .

• Competitive salary based on experience (salary can potentially be more based on experience/skills)