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Data Engineer Leader

1 week ago

Johannesburg, Gauteng, South Africa Cyberlogic Full time

Cyberlogic Overview

We are a trusted Managed Solutions Provider with offices in South Africa, Mauritius, and the UK. Our diverse technology offering includes robotic process automation (RPA), business process management (BPM), data analytics, and decisioning technology.

Our delivery focus has enabled us to build up a national and international footprint of loyal clients that rely on us to provide transparent, open guidance to improve their processes, grow their businesses, and secure their data.

As part of the Hyperclear Technology group, we challenge ourselves to be more AWESOME by keeping learning and evolving while resolving root causes through candid and constructive feedback.

About This Role

This Senior Data Consultant position is critical in designing, developing, and maintaining data pipelines to enable data-driven decision-making across our clients' businesses.

You will work closely with a small but highly skilled team of data engineers, data scientists, and business analysts to deliver high-impact solutions.

Your technical expertise and collaborative mindset will help shape the architecture and development of data solutions on cloud platforms.

  • Design, build, and maintain scalable data pipelines for the collection, transformation, and storage of data.
  • Work with large, complex datasets to ensure efficient processing and integration.
  • Develop data engineering solutions using Azure technologies and PySpark for distributed data processing.
  • Implement ETL processes and automate data workflows to support analytics, reporting, and business intelligence initiatives.

Key Requirements

  • 8-10 years of experience in data engineering or a related role with a strong background in building and optimizing data pipelines.
  • Expertise in PySpark for large-scale data processing and distributed computing.
  • Strong experience with Azure data technologies (Azure Data Factory, Azure Databricks, Azure SQL Database, etc.).
  • Proficiency in SQL and experience working with relational and NoSQL databases.