Remote Senior Data Engineer: Scalable Pipelines & Lakes

Placements24

Noord-Kaap

Hybrid

ZAR 900,000 - 1,500,000

Full time

3 days ago
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Job summary

Placements24 is seeking a Senior Data Engineer to join a distributed, remote-first team. You will design, build, and maintain scalable data pipelines, data warehouses, and data lakes using Spark, Hadoop, and cloud services.

The role emphasizes data quality, accessibility for data scientists, and collaboration across a remote team. You will work with Python/Scala/Java, ETL/ELT tooling, and modern orchestration systems to enable real-time and batch processing.

Qualifications

  • Experience designing and building large-scale data pipelines using big data technologies such as Spark, Hadoop, Hive.
  • Proficiency in SQL and experience with relational and NoSQL databases.
  • Cloud data platform experience (AWS, Azure, GCP) and data warehousing knowledge.
  • Strong programming skills in Python, Scala, or Java; data modeling and ETL/ELT theory.
  • Excellent problem-solving, analytical, and debugging skills; strong collaboration in remote settings.

Responsibilities

  • Design, develop, and optimize scalable data pipelines for batch and real-time data processing.
  • Build and maintain data warehousing solutions and data lakes on cloud platforms.
  • Implement ETL/ELT processes to ingest, transform, and load data from sources.
  • Ensure data quality, integrity, and reliability across data systems.
  • Collaborate with data scientists and analysts to provide efficient data access.
  • Develop and maintain data infrastructure, monitoring performance, and addressing issues.

Skills

Programming languages
SQL proficiency
Remote work communication

Education

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

Tools

Spark
Hadoop
Hive
Airflow
Prefect
Redshift
Glue
BigQuery
Dataflow

Job description

Placements24 is seeking a Senior Data Engineer to join a distributed, remote-first team. You will design, build, and maintain scalable data pipelines, data warehouses, and data lakes using Spark, Hadoop, and cloud services.

The role emphasizes data quality, accessibility for data scientists, and collaboration across a remote team. You will work with Python/Scala/Java, ETL/ELT tooling, and modern orchestration systems to enable real-time and batch processing.

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