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Job Description & Summary
At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage.
We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries.
Across audit and assurance, tax and legal, deals and consulting we help clients build, accelerate and sustain momentum.
Find out more at .
How will you value-add?
- Design, develop, and maintain robust ETL/ELT pipelines using tools like Azure Data Factory, Azure Data Bricks and MS Fabric.
- Build and optimize Data Architectures (Data lakes, Data warehouses) on Azure Data Services, Azure SQL PaaS and Power BI.
- Collaborate with data analysts, and business stakeholders to understand data requirements.
- Ensure data quality, integrity, and security across all data systems along with authentication and authorizations for databases.
- Monitor and troubleshoot data pipeline performance and reliability.
- Implement best practices for data governance, metadata management, and documentation.
- Memory management for database systems.
- Develop database schemas, tables, and dictionaries.
- Ensure data quality and integrity in databases and fix performance issues with corrective measures.
- Work with structured and unstructured data from various sources (APIs, databases, flat files, etc.).
- Perform regular audit checks.
About you
- Bachelor's or master's degree in computer science, Engineering, Information Systems, or related field.
- Good to have Azure Data Engineer certification.
- 2-3 years of experience in Data Engineering or related roles.
- Proficiency in MS SQL T-SQL and programming languages such as Python or C# .Net.
- Experience with data pipeline orchestration tools like Azure Data Factory or Azure Data Bricks.
- Familiarity with cloud data platforms like MS Fabric.
- Strong understanding of data modeling and warehousing concepts.
Required Skills
Optional Skills
Additional Information
- Available for Work Visa Sponsorship?
No - Government Clearance Required?
No - Seniority level: Associate
- Employment type: Full-time
- Job function: Information Technology
- Industry: Accounting
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