Hybrid Data Engineer - Cloud Pipelines & Analytics

Placements24

Mbombela (Nelspruit)

Hybrid

ZAR 600,000 - 850,000

Full time

7 days ago
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Benefits offered by this job

Competitive pay
Medical insurance
Hybrid work
Professional development
Collaborative team

Job summary

Placements24 is seeking a skilled Data Engineer to join our team in Nelspruit, offering a hybrid work setting. You will design, build, and maintain scalable data pipelines and infrastructure to enable data-driven insights.

Collaborate with data scientists and analysts, ensure data quality, and optimize ETL/ELT processes using cloud-based data warehousing and big data technologies. A strong foundation in SQL and experience with Spark, Hadoop or Kafka is expected.

Qualifications

  • Bachelor's degree in CS, Engineering or related field.
  • 3+ years of data engineering experience.
  • Proficient in SQL and database technologies like PostgreSQL/MySQL/Snowflake.

Responsibilities

  • Design, construct, install, test, and maintain highly scalable data management systems and pipelines.
  • Develop processes and tools to monitor data quality, ensuring accuracy and consistency.
  • Build and optimize ETL/ELT processes for efficient data ingestion and transformation.
  • Work with cloud-based data warehousing solutions and big data technologies.
  • Collaborate with data scientists and analysts to understand their data needs and provide solutions.

Skills

SQL
Data engineering
Big data

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

PostgreSQL
MySQL
Snowflake
Spark
Hadoop
Kafka

Job description

Placements24 is seeking a skilled Data Engineer to join our team in Nelspruit, offering a hybrid work setting. You will design, build, and maintain scalable data pipelines and infrastructure to enable data-driven insights.

Collaborate with data scientists and analysts, ensure data quality, and optimize ETL/ELT processes using cloud-based data warehousing and big data technologies. A strong foundation in SQL and experience with Spark, Hadoop or Kafka is expected.

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