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 011 463 3633 to discuss this and other opportunities.
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