Senior AWS Data Engineer – Cloud Data Pipelines & Analytics

Decision Inc.

Johannesburg

On-site

ZAR 900,000 - 1,400,000

Full time

3 days ago
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Job summary

Decision Inc. is seeking a Senior AWS Data Engineer to design, build and maintain scalable, secure data platforms on native AWS services. You will work across the data engineering lifecycle on modern pipelines, cloud migrations and enterprise-scale data solutions.

Join a global partner focusing on analytics, reporting and AI/ML initiatives. The role offers mentorship, continuous learning and meaningful project experience with long-term technical and career growth opportunities in

Qualifications

  • 5+ years of data engineering experience, including hands-on delivery on AWS.
  • Experience designing enterprise-scale data pipelines and analytics solutions.
  • Strong knowledge of data modelling, data quality, and governance.
  • Proficiency in Python, SQL, and Spark.

Responsibilities

  • Design, develop, and maintain scalable data pipelines.
  • Build and optimise cloud-based data lakes and data processing solutions using native AWS services.
  • Develop ETL/ELT processes to ingest, transform, and curate data from a variety of source systems.
  • Implement data quality, monitoring, and error-handling processes to ensure reliable data delivery.
  • Optimise data solutions for performance, scalability, security, and cost efficiency.
  • Collaborate with architects, analysts, and business stakeholders to deliver data solutions aligned with business requirements.
  • Support CI/CD practices, Infrastructure as Code, and operational excellence across the data estate.
  • Contribute to engineering best practices.

Skills

AWS data services
Python
SQL
Apache Spark
ETL/ELT pipelines
Data governance
Infrastructure as Code
Data modelling
CI/CD
Security best practices

Tools

AWS S3
AWS Glue
AWS Lambda
Amazon Redshift
Amazon Athena
Lake Formation
PySpark
Git
CI/CD tooling

Job description

Decision Inc. is seeking a Senior AWS Data Engineer to design, build and maintain scalable, secure data platforms on native AWS services. You will work across the data engineering lifecycle on modern pipelines, cloud migrations and enterprise-scale data solutions.

Join a global partner focusing on analytics, reporting and AI/ML initiatives. The role offers mentorship, continuous learning and meaningful project experience with long-term technical and career growth opportunities in

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