Microsoft Cloud Data Engineer

Praesignis

  • Johannesburg, Gauteng
  • Permanent
  • Full-time
  • 2 months ago
We are looking for a Mid to Senior-level Microsoft Cloud Data Engineer with solid experience in designing, developing, and optimizing data solutions on the Microsoft cloud stack. You will play a key role in delivering scalable and efficient data pipelines and dashboards to support data-driven decision-making in the mining sector. You will work in a dynamic, Agile environment and collaborate with cross-functional teams to deliver high-quality analytics solutions.Key Responsibilities:
  • Design and implement robust data pipelines and ETL processes using Azure Data Factory (ADF).
  • Build and optimize data models for analytical and reporting use.
  • Create interactive and insightful dashboards using Power BI and Grafana.
  • Ingest, transform, and manage large-scale datasets using Microsoft Azure Data Explorer (ADX/Kusto).
  • Write efficient and well-documented SQL queries for data extraction and transformation.
  • Monitor data flows, optimize performance, and troubleshoot issues in cloud data pipelines.
  • Participate in Agile ceremonies and collaborate closely with data analysts, scientists, and business stakeholders.
  • Maintain best practices for data governance, security, and quality.
Required Skills & Experience:
  • 4-8 years of experience as a Data Engineer or in a similar role.
  • Strong experience with Microsoft Azure Data Services, especially Azure Data Factory (ADF) and Azure Data Explorer (ADX).
  • Proficiency in SQL for data manipulation and querying.
  • Hands-on experience with Power BI dashboarding and DAX.
  • Exposure to Grafana for operational metrics or real-time monitoring dashboards.
  • Solid understanding of Agile methodologies.
  • Experience working with large datasets, preferably in the mining or heavy industry sectors.
  • Excellent problem-solving and analytical skills.
  • Strong communication skills and ability to work independently in a remote setting.

Praesignis

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