About the role
AI summarisedThis is a Data Engineer role within the Data & AI practice of a technology consulting firm. The associate/senior associate will design, build, and maintain data pipelines and analytics solutions on the Azure cloud platform for client engagements.
BusinessFull-timeGeneral
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL processes using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
- Implement data integration solutions to ingest data from various sources into Azure data platforms.
- Build and optimize data models and data warehouses to support analytics and reporting.
- Develop and maintain data governance and data quality frameworks.
- Collaborate with data scientists and analysts to understand data requirements and deliver data solutions.
- Create and maintain technical documentation for data architectures and pipelines.
- Participate in code reviews and ensure adherence to best practices and standards.
- Support the deployment and monitoring of data solutions in production environments.
- Contribute to pre-sales activities, including solution design and client presentations.
Requirements
- Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, or a related field.
- 2-6 years of experience in data engineering or a related role.
- Strong proficiency in Azure data services: Azure Data Factory, Azure Databricks, Azure Synapse Analytics.
- Proficiency in Python and SQL for data processing and analysis.
- Experience with data modeling, data warehousing, and ETL concepts.
- Familiarity with version control systems like Git and CI/CD pipelines using Azure DevOps.
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills for client-facing roles.
- Ability to work in a team-oriented, collaborative environment.
- Preferred: Microsoft Certified: Azure Data Engineer Associate or Azure Solutions Architect certification.