About the Job
At PwC, we measure success by our ability to create value for our clients and our people, with a strong reputation built on lasting relationships. We are a network of firms committed to delivering world-class capabilities and quality in assurance, tax, and advisory services across 158 countries. Established in the Middle East for 40 years, we employ over 4,200 people in the region and have a deep knowledge of local business environments.
We are seeking a skilled and motivated Azure Data Engineer with 3 to 5 years of experience to join our dynamic team. The ideal candidate will be responsible for building, managing, and optimizing our data pipelines and architectures within the Azure ecosystem, ensuring efficient data processing and storage. Knowledge of Salesforce backend or API integration will be highly beneficial.
Key Responsibilities
- Design and Develop Data Pipelines: Create and maintain robust, scalable data pipelines using Azure Data Factory, Databricks, and related tools.
- Data Integration: Integrate structured and unstructured data from various sources into a unified data warehouse using Azure SQL Database, Azure Data Lake, and Synapse Analytics.
- Salesforce Integration: Utilize knowledge of Salesforce backend and APIs for data integration with Azure data services.
- Optimization: Optimize data flows for performance, reliability, and scalability, ensuring data quality and consistency.
- Monitoring and Troubleshooting: Monitor data pipelines, troubleshoot issues, and implement solutions to ensure seamless data processing workflows.
- Collaboration: Work with data analysts and other stakeholders to understand their data requirements and translate them into technical solutions.
- Security and Compliance: Implement security best practices and ensure compliance with organizational policies and industry standards.
- Documentation: Create and maintain documentation for data architectures, processes, and best practices.
Required Skills & Qualifications
- Experience: 3 to 5 years in data engineering, focusing on Azure technologies.
- Technical Skills:
- 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 Azure.
- Basic to intermediate knowledge of Salesforce backend and API integration.
- Problem-Solving: Strong analytical skills with the ability to troubleshoot complex data issues.
- Communication: Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams.
Preferred Qualifications
- 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.
- Advanced knowledge or experience in Salesforce data models and APIs is an added advantage.
This position offers an exciting opportunity to be part of a leading firm in the Middle East while contributing to innovative data solutions and strategies in a dynamic environment.
