Oliver James is looking for a Data Engineer Azure Freelance for different roles, with strong capabilities.
We introduce talented people to great organizations so that both may grow and benefit from each other's experiences, helping to fulfil their potential. As such, you can come to expect a consistently high level of service and delivery, placing up to C-suite talent in permanent and contract positions, as well as project-based consultancy and temp solutions worldwide from our 12 global locations.
Your key responsibilities:
- Data Pipeline Development: Create, implement, and optimize data pipelines using Azure Data Factory, Azure Databricks, and other Azure services. Ensure data is ingested, processed, and transformed efficiently.
- Data Integration: Integrate data from diverse sources, including on-premises systems, external APIs, databases, and cloud-based platforms, ensuring data accuracy and consistency.
- Data Transformation: Apply data cleansing, transformation, and enrichment techniques to prepare data for analytics and reporting purposes. Utilize tools like Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Synapse Analytics.
- Data Modeling: Develop and maintain data models and schemas to support analytical and reporting requirements. Implement best practices for data warehousing.
- Performance Optimization: Continuously monitor and optimize data pipelines and database performance to ensure scalability and efficiency.
- Collaboration: Work closely with cross-functional teams, including data scientists, data analysts, and business stakeholders, to understand their data needs and deliver solutions that meet their requirements.
- Documentation: Maintain comprehensive documentation of data pipelines, data flows, and data architectures to facilitate knowledge sharing and troubleshooting.
- Troubleshooting and Support: Identify and resolve data-related issues promptly, ensuring minimal disruptions to data processes and analytics.
- Cloud Best Practices: Stay up-to-date with Azure cloud technologies and best practices, leveraging new features and capabilities to improve data engineering processes.
Skills and competences:
- A Bachelor's degree in Computer Science, Information Technology, or a related field (Master's degree preferred).
- 3 years of proven experiencse in data engineering, with a focus on Azure cloud services.
- Proficiency in Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL Data Warehouse, and other relevant Azure technologies.
- You are fluent in French or Dutch with a great skills in English
- You are a team player with a Proactive attitude
- You are capable of Autonomy, commitment and perseverance.
Hybrid : 2 days at Office