Azure Data Engineer - PwC
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Job Description
Description
Established in the region for 40 years PwC has around 8000 people in 12 countries across the region: Bahrain Egypt Iraq Jordan Kuwait Lebanon Libya Oman the Palestinian territories Qatar Saudi Arabia and the United Arab Emirates.
Our regional team operates across the Middle East bringing international experience delivered within the context of the region and its culture. We can bring the collective knowledge and experience of more than 328000 people across the entire global PwC network in advisory assurance and tax to help you find the value you are looking for.
Line of Service
Industry/Sector
Specialism
Management Level
Job Description & Summary
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 data 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 the seamless operation of 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 TSQL 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.ProblemSolving:
Strong analytical and problemsolving skills with the ability to troubleshoot complex data issues.Communication:
Excellent communication skills both written and verbal with the ability to collaborate effectively with crossfunctional 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.
- Salesforce Expertise: Advanced knowledge or experience in Salesforce data models and APIs is an added advantage.
Education
(if blank degree and/or field of study not specified)Certifications
(if blank certifications not specified)Required Skills
Optional Skills
Desired Languages
(If blank desired languages not specified)Travel Requirements
Available for Work Visa Sponsorship
Government Clearance Required
Job Posting End Date
Job ID:562763WD
Industry:Not Applicable
Service:Internal Firm Services
Grade:Senior Associate
Location:Dubai
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Employment Type
Full Time
