About the Job
At PwC, we measure success by our ability to create value for our clients and our people. Our reputation is built on lasting relationships and a focus on delivering value in all we do. We are a network of firms in 158 countries, employing over 236,000 individuals committed to providing world-class capabilities in assurance, tax, and advisory services.
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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 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 various sources into a unified data warehouse using Azure SQL Database, Azure Data Lake, and Synapse Analytics.
- Salesforce Integration: Leverage 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 data processing workflows.
- Collaboration: Collaborate 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, with a strong focus 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.
- Data Modeling Experience: Familiarity with data modeling, ETL processes, and data warehousing concepts. Knowledge of programming languages like Python, Scala, or Java.
- Data Security Knowledge: Awareness 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, with the ability to troubleshoot complex data issues.
- Communication: Excellent communication skills, both written and verbal, 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.
