More jobs:
AWS Data Engineer
Job in
Johannesburg, 2000, South Africa
Listed on 2026-09-12
Listing for:
UrbanSoft SA PTY
Full Time, Seasonal/Temporary
position Listed on 2026-09-12
Job specializations:
-
IT/Tech
AWS, Data Engineering, Data Warehousing
Job Description & How to Apply Below
AWS DATA ENGINEER – CONTRACT
Job Title:
AWS Data Engineer
Location:
[JHB/Hybrid]
*** MUST BE LOCAL IN SOUTH AFRICA
Job Type: [Full-Time /Contract]
Job Description:
We are seeking a skilled AWS Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with specific expertise in AWS technologies. You will be responsible for designing, developing, and maintaining our data infrastructure, ensuring efficient data processing and storage solutions.
- Design, develop, and maintain scalable data pipelines using AWS services.
- Write efficient and maintainable Python and PySpark code for data processing.
- Implement and manage ETL processes using AWS Glue.
- Develop and optimize SQL queries for data extraction and transformation.
- Utilize AWS Athena for querying and analyzing large datasets.
- Work with AWS Redshift for data warehousing solutions.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
- Ensure data quality and integrity across various data sources.
- Monitor and troubleshoot data pipeline issues to ensure smooth operations.
- Stay updated with the latest industry trends and best practices in data engineering and AWS technologies.
- Must be strong in MDM knowledge:
Experience with building or integrating MDM systems — e.g., designing golden records, matching/merging, data mastering, data stewardship workflows - Python:
Proficient in writing Python code for data processing and automation. - Spark:
Strong understanding of Apache Spark and experience with PySpark. - AWS Data Stack:
Glue, S3, Lambda, Redshift, Athena, Step Functions - SQL:
Advanced skills in SQL, with the ability to write complex queries. - AWS Athena:
Experience with AWS Athena for querying large datasets. - Redshift:
Familiarity with AWS Redshift, including data warehousing concepts and usage. - Data Warehousing:
Solid understanding of data warehousing principles and best practices.
- Experience with other AWS services such as S3, Lambda, and Cloud Formation.
- Knowledge of data modeling and schema design.
- Familiarity with data governance and security best practices.
- Experience with version control systems like Git.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 4+ years of experience in data engineering or a related role.
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