Job Description

A Technology and Business Consulting Firm that was founded through a combination of technology, data, financial and actuarial science principles. is looking for a highly motivate Intermediate or Senior AWS Data Engineer with strong expertise in building scalable data pipelines on AWS. You will work with major financial institutions, designing and implementing modern cloud-based data solutions. This is a hands-on role requiring a solid foundation in Python or C#, AWS Glue (PySpark), and cloud-based ETL systems.
Responsibilities:

• Design, build, and optimize robust data pipelines and architectures on AWS.
• Lead the implementation of scalable and secure data solutions.
• Ingest data into AWS S3 and transform/load into RDS/Redshift.
• Build AWS Glue Jobs using PySpark or Glue Spark.
• Use AWS Lambda (Python/C#) for event-driven data transformation.
• Collaborate on migration and deployment automation (Dev to Prod).
• Support data governance, lineage, and best practices in security.
• Deliver data insights through well-structured models and pipelines.
• Work with batch, real-time (Kafka), and streaming architectures.
• Interact with stakeholders and communicate technical concepts clearly.

Qualifications & Experience:

• Proficiency in SQL and data modelling principles.
• Deep experience with AWS services: Glue, Lambda, S3, RDS, Redshift, DynamoDB, Kinesis, SQS/SNS, IAM.
• CI/CD, DevOps and scripting (PowerShell, Bash, Python, etc.).
• Familiarity with RDBMS systems: PostgreSQL, MySQL, SQL Server.
• Agile/Scrum methodology and full SDLC experience.
• Kafka and real-time data ingestion experience (advantageous).
• Strong Python or C# programming, including OOP and libraries for data engineering.

The Reference Number for this position is NG60600 which is a Permanent, Hybrid position in Johannesburg offering a salary of R600k up to R900k per annum negotiable based on experience. E-mail Nokuthula on nokuthulag@ e-Merge.co.za or call her for a chat on to discuss this and other opportunities.
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