TYCH is a well-established and experienced, black female owned generalist recruitment agency. We have the experience and expertise to make your business our business and aid you in taking your company to the top, no matter the sector.
Professional, dedicated and passionate about what we do and about what you do, we take it upon ourselves to immerse ourselve...
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Design, build, and optimize data pipelines and architectures using Microsoft Azure technologies to support analytics, machine learning, and data-driven decision-making.
Collaborate with data scientists, BI specialists, data analysts, and ICT application teams to deliver high-performance, scalable data solutions.
Implement and manage ETL/ELT workflows in Azure Data Factory, Synapse Analytics, Databricks, and related tools.
Develop and maintain data lakes and data warehouses to support enterprise reporting and analytics.
Ensure data quality, security, and governance by implementing validation, monitoring, and access control frameworks.
Maintain documentation and ensure adherence to data architecture standards and compliance requirements (e.g., POPIA, GDPR).
Support automation and DevOps practices, including version control, CI/CD pipelines, and infrastructure-as-code.
Provide technical input in budget planning, tool procurement, and cost optimization of cloud infrastructure.
Participate in data-related forums, project committees, and ICT governance initiatives to promote collaboration and innovation.
Stay abreast of advancements in cloud data engineering, share knowledge with the team, and lead the implementation of best practices.
REQUIREMENTS:
Diploma/Degree (NQF Level 6) in Computer Science, Information Management Systems, or Data Science (Essential).
3 years managerial level and 5+ years experience in data engineering or a similar role (Essential).
Strong expertise in Microsoft Azure, including:
Azure Data Factory
Azure Synapse Analytics
Azure Databricks
Azure Data Lake Storage (Gen2)
Proficiency in SQL, data modeling, and data warehousing concepts.
Hands-on experience with Python and/or R, including data processing (e.g., Pandas, PySpark).
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