Azure Data Consultant, Senior Associate
About The Position
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Meaningful work you'll be part of As a Senior Associate, Azure Data Engineer, you will play a key role in designing and building data solutions on Azure. You will work closely with project teams to deliver high-quality data pipelines, ensure data integrity, and support deployment activities.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field
- Hands-on experience with Azure data services: Data Factory, Synapse, Databricks, Event Hub, Blob Storage.
- Proficiency in SQL and Python; strong understanding of ETL/ELT processes.
- Hands-on experience with Power BI
- Knowledge of data quality frameworks and error handling techniques.
- Strong analytical and problem-solving skills; effective communicator.
Nice To Haves
- Microsoft Certified: Azure Data Engineer Associate (DP-203)
- Microsoft Certified: Fabric Analytics Engineer Associate
- Databricks Certified Data Engineer Associate
Responsibilities
- Act as an expert in Azure Data Platform, including Azure Data Factory (ADF), Azure Databricks, Synapse Analytics, Event Hub, Blob Storage.
- Design and build scalable data pipelines for ingestion, transformation, and curation/normalisation of data.
- Implement data quality checks, error handling, and monitoring frameworks to ensure reliability.
- Apply strong knowledge of data modelling and data warehouse concepts to optimise architecture.
- Troubleshoot issues during development and testing phases, ensuring smooth deployment of data pipelines.
- Collaborate with data scientists, analysts, and business stakeholders to deliver robust solutions.
- Support pre-sales activities and RFP responses with technical input when required.
- Contribute to knowledge sharing and best practices within the team.
Benefits
- inclusive, hybrid work environment
- competitive compensation package
- inclusive benefits
- flexibility programs
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What This Job Offers
Job Type
Full-time
Career Level
Senior
