
Cloud Data Specialist
2 days ago
Job Title: Azure Data Factory SQL
- Design, develop and maintain data pipelines using advanced tools.
- Write complex SQL queries, stored procedures and performance-tuned scripts for data transformation and validation.
- Integrate data from various sources including cloud storage, relational databases, APIs and on-premise systems.
- Monitor and troubleshoot data pipelines and workflows to ensure high-quality results.
- Collaborate with data architects, analysts and business stakeholders to understand data requirements.
- Implement robust data governance, security and compliance best practices.
- Participate in code reviews, CI/CD processes and agile ceremonies.
Key Requirements:
- Strong hands-on experience with data engineering platforms (pipelines, triggers, linked services, datasets).
- Proficiency in programming languages such as T-SQL, Python or PowerShell.
- Experience with cloud-based data platforms such as Azure Synapse Analytics, Azure Data Lake or Google Cloud Storage.
- Familiarity with data warehousing concepts, ETL best practices and data modeling techniques.
- Knowledge of automation tools such as Git, Azure DevOps or Jenkins.
Preferred Qualifications:
- Professional certifications in data engineering, such as Microsoft Certified: Azure Data Engineer Associate.
- Experience with business intelligence tools like Power BI, Tableau or Databricks.
Why this role is ideal for you:
- Opportunity to work with cutting-edge technology and innovative projects.
- Collaborative team environment with experienced professionals.
- Chance to develop your skills and take on new challenges.
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