Team Lead Data Engineer
4 weeks ago
- Tertiary qualification in IT or related field.
- Certification: DP-203 (Data Engineering on Microsoft Azure).
- 57 years of experience in data engineering or database development.
- Expertise in data modeling, ETL solutions, and cloud-based tools (e.g., Azure Synapse, Databricks).
- Proficiency in SQL, Python, R, Scala, and visualization tools like Power BI or Tableau.
- Strong analytical and technical problem-solving abilities.
- Leadership and project management expertise.
- Familiarity with Big Data and event processing technologies.
Data Engineering:
- Automate data collection and preprocessing for structured and unstructured data.
- Analyze large datasets to uncover trends and insights.
- Design and optimize data models, warehouses, and ETL solutions using tools like Azure Data Factory and SQL Server.
- Leverage Big Data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (AWS, Azure) for advanced data processing.
- Build real-time analytics and batch processing frameworks.
- Guide and mentor team members to meet quality standards and timelines.
- Foster collaboration and ensure effective client communication.
- Identify and mitigate technical and project risks proactively.
- Provide strategic technical input during project planning phases.
- Translate business requirements into actionable technical strategies.
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Team Lead Data Engineer
4 weeks ago
Pretoria, South Africa Pro Personnel Full timeQualifications & ExperienceTertiary qualification in IT or related field.Certification: DP-203 (Data Engineering on Microsoft Azure).57 years of experience in data engineering or database development.Expertise in data modeling, ETL solutions, and cloud-based tools (e.g., Azure Synapse, Databricks).Proficiency in SQL, Python, R, Scala, and visualization tools...
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