Senior Data Engineer: Lead Scalable Data Pipelines (AWS)

Datonomy Solutions; Gauteng; On-site; ZAR 600 000 - 850 000; Full time

Job summary

A technology solutions provider based in Gauteng is seeking a Senior Data Engineer to design and maintain robust data pipelines for advanced analytics and decision-making. This role involves collaborating closely with technical and business stakeholders, providing technical mentorship, and ensuring high-quality data solutions. Ideal candidates should have 4-7 years of data engineering experience, a degree in a related field, and advanced proficiency in Python and SQL, particularly in a cloud-based architecture like AWS.

Qualifications

• 4-7 years of hands-on data engineering experience.
• Strong database design knowledge and experience with data warehousing techniques.
• Experience building and maintaining cloud-based data architecture.

Responsibilities

• Design, build, and maintain robust, scalable data pipelines.
• Ensure reliability, scalability, and maintainability of data pipelines.
• Collaborate with data scientists, analysts, and business stakeholders.

Skills

Advanced proficiency in Python

Advanced proficiency in SQL

Strong database design knowledge

Experience with cloud-based data architecture (AWS)

Education

Degree or diploma in Computer Science, Information Systems, Engineering, or a related field

Job description

A technology solutions provider based in Gauteng is seeking a Senior Data Engineer to design and maintain robust data pipelines for advanced analytics and decision-making. This role involves collaborating closely with technical and business stakeholders, providing technical mentorship, and ensuring high-quality data solutions. Ideal candidates should have 4-7 years of data engineering experience, a degree in a related field, and advanced proficiency in Python and SQL, particularly in a cloud-based architecture like AWS.