Senior Data Engineer — Hybrid Pipelines and Insights
Summary
Design, build, and maintain scalable data pipelines and infrastructure for clients' data initiatives, implementing ETL/ELT processes and optimizing data warehousing. Core stack includes SQL, Python/Scala/Java, Spark, Hadoop, Kafka, and cloud platforms (AWS/Azure/GCP); requires 5+ years in data engineering.
Placements24 in Paarl is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support our clients' data-driven initiatives. You will handle large data volumes, implement robust ETL/ELT processes, and optimize data warehousing solutions.
The ideal candidate has 5+ years in data engineering, strong SQL and programming skills (Python/Scala/Java), and hands-on experience with Spark, Hadoop, Kafka, and cloud platforms (AWS/Azure/GCP).