- Design and develop data pipelines using Azure Data Factory, Databricks, and other related tools.
- Integrate structured and unstructured data from various data sources into a unified data warehouse using Azure SQL Database, Azure Data Lake, and Synapse Analytics.
- Leverage knowledge of Salesforce backend and APIs to integrate Salesforce data with Azure data services.
- Optimize data flows for performance, reliability, and scalability, ensuring data quality and consistency.
- Monitor data pipelines, troubleshoot issues, and implement solutions to ensure seamless operation of data processing workflows.
- Collaborate with data analysts and other stakeholders to understand their data requirements and translate them into technical solutions.
- Implement security best practices and ensure compliance with organizational policies and industry standards.
- Create and maintain documentation for data architectures, processes, and best practices.
- Proficiency in Azure Data Factory, Azure SQL Database, Azure Data Lake, and Synapse Analytics.
- Experience with big data processing tools such as Azure Databricks or HDInsight.
- Strong SQL and T-SQL skills.
- Experience with data modeling, ETL processes, and data warehousing concepts.
- Familiarity with programming languages like Python, Scala, or Java.
- Knowledge of data security and compliance practices within the Azure ecosystem.
- Azure Data Engineer certification (e.g. Microsoft Certified: Azure Data Engineer Associate) is a plus.
- Experience with CI/CD pipelines for data engineering workflows.
- Familiarity with Power BI for data visualization.
- Salesforce Expertise: Advanced knowledge or experience in Salesforce data models and APIs is an added advantage.
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Data Engineer
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Azure Data Engineer - Dubai, United Arab Emirates - Talent Pal
