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e-Merge IT Recruitment

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Senior Data Engineer

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Summary

A Senior Data Engineer in Johannesburg (hybrid) who designs, builds and maintains scalable ETL/ELT pipelines, data warehouses and cloud-based data platforms. Core stack is SQL, Python, cloud (AWS/Azure/GCP), orchestration tools and Git, for a large marketing data generation and distribution company.

Senior Data Engineer - Johannesburg - up to R900k per annum

A large marketing data generation and distribution company, transforming how businesses access, manage and use data - are rapidly expanding their footprint globally.

They are looking for an experienced Senior Data Engineer to join their technology team and play a key role in designing, building and maintaining scalable, reliable data solutions.

Responsibilities:

  • Design, develop and maintain scalable ETL/ELT pipelines for reliable data processing.
  • Build, enhance and optimise data warehouses and modern data platforms .
  • Integrate and consolidate data from diverse sources and systems.
  • Develop high-performance SQL queries and efficient data transformation processes.
  • Maintain high standards of data quality, governance, security and availability .
  • Monitor, troubleshoot and continuously optimise data pipelines and workflows.
  • Collaborate with Data Analysts, BI Developers, Software Engineers and business stakeholders to deliver effective data solutions.
  • Contribute to data architecture, automation and engineering best practices .
  • Develop and support cloud-based data solutions to enable scalable and efficient data processing.

Qualifications & Experience:

  • 5+ years' experience in Data Engineering or a related role.
  • Strong SQL and Python skills.
  • Proven ETL/ELT and data integration experience.
  • Experience with relational and/or cloud databases.
  • Strong understanding of data warehousing and dimensional modelling.
  • Exposure to AWS, Azure or GCP .
  • Experience with orchestration tools and Git .
  • Understanding of data quality, governance and software engineering practices.
  • Advantageous: Azure Data Factory / AWS Glue /Databricks / Snowflake / Microsoft Fabric Power BI / Apache Spark /Kafka /Docker / Kubernetes

The Reference Number for this position is NG61504 which is a Permanent, Hybrid position based in the Johannesburg offering a cost to company of up to R900k CTC negotiable on experience and ability. Contact Nokuthula at nokuthulag@e-merge.co.za or call her on 011 463 3633 to discuss this and other opportunities.

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