About the Job
At PwC, we measure success by our ability to create the value that our clients and our people are looking for. Our reputation is built on establishing lasting relationships with our clients and delivering value in everything we do. We are a network of firms in 158 countries with more than 236,000 people dedicated to providing world-class capabilities in assurance, tax, and advisory services. Established in the region for 40 years, PwC Middle East employs over 4,200 individuals across 12 countries, offering tailored solutions that address the challenges and opportunities of doing business in the Middle East market and beyond.
Position: Azure Data Engineer
Job Description & Summary
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, ensuring efficient data processing and storage within the Azure ecosystem. Additionally, 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 other related tools.
- Data Integration: Work on integrating structured and unstructured data from multiple 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 to integrate Salesforce data 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 operation of 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 of experience in data engineering, focused 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 the Azure ecosystem.
- Salesforce: Basic to intermediate knowledge of Salesforce backend and API integration.
- Problem-Solving: Strong analytical and problem-solving skills, capable of troubleshooting 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.
