Description:
Join a pioneering company at the forefront of data collaboration and privacy-enhancing technologies. This innovative and fast-growing organization empowers businesses to unlock the value of consumer insights—securely and ethically—through cutting-edge data clean rooms and AI-powered solutions.
Our client is currently looking for a Senior Cloud Data Enginee r to join their team.
Requirements:
· 6+ years of extensive experience.
· Education / Degrees: Computer science degree or comparable data engineering certification in one of the cloud platforms.
· Extensive experience in cloud-based data engineering, with expertise in Azure (Azure Synapse, Azure Data Factory, ADLS, etc.).
· Strong expertise in cloud-agnostic data tools such as Databricks, Spark, Delta Lake, and Lakehouse architectures.
· Advanced proficiency in T-SQL and Python for developing complex data pipelines, transformations, and optimizations.
· Hands-on experience in big data processing, ETL/ELT, and data pipeline orchestration.
· Solid understanding of data modelling, warehouse design, and data lakehouse architecture.
· Experience in setting up, managing, and processing with Azure DevOps (or similar DevOps tools).
· Strong knowledge of DevOps, CI/CD, Git, and infrastructure-as-code for automated deployments.
· Excellent verbal and written communication skills, with the ability to collaborate across teams and explain complex data concepts clearly.
· Ability to work independently on high-impact projects while maintaining a team-oriented approach.
· Experience with containerization technologies (Docker, Kubernetes) for data processing workloads.
· Knowledge of data security, encryption, and compliance regulations related to big data.
· Exposure to machine learning and AI pipelines within data engineering workflows.
- Experience working with multi-cloud environments (AWS, GCP) alongside Azure.
Should you meet the requirements for this position, please email your CV to it.vacancy@stand-outstaffing.co.za . You can also contact the team on XXX-XXXX or alternatively you can visit our website www.stand-outstaffing.co.za
Should you not hear from us within 3 days, please consider your application unsuccessful.
Requirements:
Join a pioneering company at the forefront of data collaboration and privacy-enhancing technologies. This innovative and fast-growing organization empowers businesses to unlock the value of consumer insights—securely and ethically—through cutting-edge data clean rooms and AI-powered solutions.
Our client is currently looking for a Senior Cloud Data Enginee r to join their team.
Requirements:
· 6+ years of extensive experience.
· Education / Degrees: Computer science degree or comparable data engineering certification in one of the cloud platforms.
· Extensive experience in cloud-based data engineering, with expertise in Azure (Azure Synapse, Azure Data Factory, ADLS, etc.).
· Strong expertise in cloud-agnostic data tools such as Databricks, Spark, Delta Lake, and Lakehouse architectures.
· Advanced proficiency in T-SQL and Python for developing complex data pipelines, transformations, and optimizations.
· Hands-on experience in big data processing, ETL/ELT, and data pipeline orchestration.
· Solid understanding of data modelling, warehouse design, and data lakehouse architecture.
· Experience in setting up, managing, and processing with Azure DevOps (or similar DevOps tools).
· Strong knowledge of DevOps, CI/CD, Git, and infrastructure-as-code for automated deployments.
· Excellent verbal and written communication skills, with the ability to collaborate across teams and explain complex data concepts clearly.
· Ability to work independently on high-impact projects while maintaining a team-oriented approach.
· Experience with containerization technologies (Docker, Kubernetes) for data processing workloads.
· Knowledge of data security, encryption, and compliance regulations related to big data.
· Exposure to machine learning and AI pipelines within data engineering workflows.
- Experience working with multi-cloud environments (AWS, GCP) alongside Azure.
Should you meet the requirements for this position, please email your CV to it.vacancy@stand-outstaffing.co.za . You can also contact the team on XXX-XXXX or alternatively you can visit our website www.stand-outstaffing.co.za
Should you not hear from us within 3 days, please consider your application unsuccessful.
- Experience working with multi-cloud environments (AWS, GCP) alongside Azure.