Remote Graduate Data Engineer - Big Data

Placements24

Stellenbosch

Hybrid

ZAR 300,000 - 420,000

Full time

3 days ago
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Benefits offered by this job

Competitive graduate salary
Health benefits
Training resources
Remote work environment
Opportunity to attend conferences

Job summary

Placements24 is seeking a Graduate Data Engineer for a fully remote role in South Africa. You will design, develop, and maintain scalable data pipelines and contribute to large-scale data infrastructure powering analytics and BI.

The role emphasizes hands-on work with Python/Scala/Java, SQL/NoSQL databases, and cloud data services (AWS/Azure/GCP). You will collaborate with data scientists and analysts while learning modern big data tech in a remote team.

Qualifications

  • Bachelor's degree in CS/IT/Engineering or related field.
  • Solid understanding of SQL/NoSQL databases.
  • Proficient in Python, Scala, or Java for data engineering tasks.
  • Familiarity with Hadoop, Spark, Kafka, and cloud data services.

Responsibilities

  • Design, construct, install, test, and maintain scalable data systems.
  • Develop and optimize ETL/ELT processes for ingestion and transformation.
  • Build data lakes and warehouses on cloud platforms (AWS/Azure/GCP).
  • Collaborate with data scientists to meet data requirements.
  • Implement data quality and monitor pipeline performance.
  • Automate data processes using scripting and CI/CD tools.

Skills

SQL
NoSQL
Python
Scala
Java
Hadoop
Spark
Kafka

Education

Bachelor's degree in CS/IT/Engineering

Tools

AWS
Azure
GCP
S3
Redshift
Glue
Data Lake
BigQuery
Dataflow
Synapse

Job description

Placements24 is seeking a Graduate Data Engineer for a fully remote role in South Africa. You will design, develop, and maintain scalable data pipelines and contribute to large-scale data infrastructure powering analytics and BI.

The role emphasizes hands-on work with Python/Scala/Java, SQL/NoSQL databases, and cloud data services (AWS/Azure/GCP). You will collaborate with data scientists and analysts while learning modern big data tech in a remote team.

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