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Job Summary
The successful candidate will work within teams ranging from fast-growing start-ups to established global organisations, focusing on designing, building, and maintaining scalable data infrastructure. Responsibilities include developing and optimizing ETL/ELT pipelines, implementing data models, ensuring data quality, and supporting advanced analytics initiatives.
These roles provide hands-on experience with modern data stacks, cloud technologies, and high-performance data systems, within teams that encourage continuous learning and technical advancement.
Skills & Experience:
Strong foundation in data engineering at Junior, Intermediate, or Senior level
Proficiency in SQL and Python (experience with Scala or similar is advantageous)
Experience building and maintaining ETL/ELT pipelines
Solid understanding of data modelling and data warehousing concepts
Exposure to cloud platforms (e.g. AWS, Azure, GCP)
Experience with big data tools (e.g. Spark, Kafka) is advantageous
Strong problem-solving skills with a focus on performance and scalability
Qualification:
Relevant degree or equivalent experience
Certifications in data or analytics are advantageous
Contact LIZAAN BUNNING on 021 418 1750, quoting the Ref: CTI006499
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