Senior Data Engineer: Scalable Pipelines & Big Data

Synthesis Software Technologies; Johannesburg; On-site; ZAR 600,000 - 1,000,000; Full time

Job summary

Synthesis Software Technologies in Johannesburg seeks a Data Engineer to build and support scalable, secure data pipelines. You will manage data at scale from diverse sources, enabling insights from both batch and real-time processing using cloud and big data technologies.

The role emphasizes developing proofs of concept, implementing complex data solutions, and aligning technical work with business needs across the SDLC.

Qualifications

• Bachelor’s degree in CS/Engineering or equivalent required.
• AWS Certification and extensive programming knowledge required.
• Strong data modelling skills and distributed systems experience.
• 5+ years in data or software engineering.
• Experience with ETL and big data tooling (Talend, PySpark, Spark).
• Hands-on with AWS data services (EMR, EC2, S3) and Python scripting.

Responsibilities

• Architect data analytics framework for scalable pipelines.
• Translate requirements into architecture and high-performance software.
• Lead batch and real-time data analytics solutions.
• Oversee data feeds from on-premise to AWS Cloud.
• Develop data marts and ETL processes with Talend or similar tools.
• Work on multiple projects as technical lead, including testing and automation.

Skills

AWS Certification

Programming languages

Big Data knowledge

Distributed systems

Data modelling

Education

Bachelor’s Degree in Computer Science/Engineering or equivalent

Tools

Talend

Python

PySpark or Spark

EMR

EC2

S3

Job description

Synthesis Software Technologies in Johannesburg seeks a Data Engineer to build and support scalable, secure data pipelines. You will manage data at scale from diverse sources, enabling insights from both batch and real-time processing using cloud and big data technologies.

The role emphasizes developing proofs of concept, implementing complex data solutions, and aligning technical work with business needs across the SDLC.