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Aws Cloud Data Engineer

Aws Cloud Data Engineer

OttoBauthenticPretoria, Gauteng, South Africa
5 days ago
Job description

Job Overview / Role Purpose

We are seeking a Senior Data Engineer with expertise in cloud data platforms, big data pipelines, and advanced analytics . In this role, you’ll architect and maintain scalable, high-performance data ecosystems that power machine learning models, BI dashboards, and AI-driven decision-making .

You’ll combine hands-on engineering with strategic leadership , mentoring junior engineers, guiding best practices, and collaborating with data scientists, software engineers, and business stakeholders. This role is ideal for someone who thrives in cloud-native environments (AWS preferred) and wants to make a real impact with data.

Minimum Requirements

Qualifications :

  • Degree or diploma in Computer Science, Information Systems, Engineering, or a related field.
  • AWS certifications or equivalent practical expertise.

Experience :

  • 4 – 7 years of hands-on data engineering
  • Experience leading or mentoring junior engineers .
  • Advanced proficiency in Python and SQL .
  • Strong experience with BI tools like Power BI for data storytelling .
  • Strong database design knowledge and experience with data warehousing techniques and modelling approaches .
  • Experience building and maintaining cloud-based data architecture (AWS preferred) .
  • Hands-on experience with data ingestion from , amongst others : Microsoft SQL Server, Oracle, MongoDB, Amazon S3 and other AWS data services, HTTP APIs, SFTP , and various file systems.
  • Proficiency with Git, CI / CD pipelines , and Agile methodologies .
  • Hands-on designing and development of complex data pipelines from multiple sources into a central data platform / lakehouse .
  • Familiarity with machine learning workflows and supporting analytics teams .
  • Strong problem-solving, analytical, and communication skills
  • Ability to work independently and take initiative on projects
  • Business acumen and ability to translate technical work into business impact
  • What You Will Do!

    Data Engineering & Pipeline Development

  • Design, build, and optimize cloud-native, big data pipelines (AWS, Python, SQL).
  • Develop real-time and batch data pipelines for analytics and AI / ML applications.
  • Ensure data quality, scalability, and governance across all pipelines.
  • Data Platform Design & Architecture

  • Contribute to the architecture of cloud data platforms, data lakes, and lakehouses.
  • Implement automation, monitoring, and CI / CD pipelines for modern data workflows.
  • Integrate data from multiple structured and unstructured sources (SQL Server, Oracle, MongoDB, APIs, AWS S3, file systems).
  • Leadership & Mentorship

    Champion best practices in data engineering, testing, and DevOps.

  • Conduct code reviews and encourage knowledge sharing.
  • Collaboration & Business Impact

  • Partner with data scientists, BI analysts, and business teams to deliver actionable insights.
  • Translate complex business requirements into technical solutions.
  • Develop and maintain data products, self-service analytics, and BI dashboards (Power BI preferred).
  • Continuous Innovation

  • Stay ahead of the curve on AI, machine learning workflows, and modern data tools.
  • Explore opportunities to implement new technologies in big data, real-time streaming, and cloud data services.
  • Drive a data-first culture across the organisation.
  • #J-18808-Ljbffr

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    Data Engineer • Pretoria, Gauteng, South Africa

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