
Cloud Data Engineering Professional
3 days ago
We are seeking a highly skilled data engineer to design, build and optimize scalable data pipelines and architectures on Microsoft Azure.
This is an opportunity for you to work closely with cross-functional teams, providing thought leadership, delivering robust, secure, and high-performance solutions that empower analytics and data science initiatives.
Key Responsibilities:
- Design, develop and maintain scalable data pipelines using Azure Data Factory and Synapse Analytics.
- Build and optimize lakehouse architectures on Azure using Delta Lake.
- Work closely with stakeholders to understand their requirements and provide technical expertise.
- Implement data ingestion, transformation and orchestration workflows from diverse sources (APIs, databases, cloud storage).
- Evaluate and ensure data quality, consistency and security across the data lifecycle.
- Leverage Azure services such as Data Lake Storage Gen2, Event Hubs, Functions and Key Vault.
- Implement Infrastructure as Code (IaC) using Terraform or Bicep for automated provisioning and configuration.
- Optimize cloud resource usage for performance and cost-efficiency.
- Design and implement star schema and other data modeling techniques to support analytical workloads.
- Collaborate with analysts and data scientists to deliver advanced analytics solutions.
- Conduct data quality assessments and contribute to governance initiatives.
You will require:
- Expert-level experience with Azure Data Services: Data Factory, Databricks, Synapse, Data Lake Storage.
- Strong proficiency in SQL for complex transformations and performance tuning.
- Advanced Python skills for data pipeline development and orchestration.
- Experience with Terraform or similar IaC tools for Azure.
- Familiarity with CI/CD pipelines and DevOps practices.
- Containerization (Docker, Kubernetes) is a plus.
- Strong understanding of data governance, security (RBAC, VNETs, Managed Identities), and compliance in Azure.
- Batch and streaming data processing using Structured Streaming or Event Hubs.
In addition to the above technical skills, you will also need to have:
- A growth mindset with passion for continuous learning and innovation.
- Strong collaboration skills across engineering, analytics and business teams.
- Client management skills
- A structured problem-solving approach with focus on scalability and maintainability.
- Solution-oriented attitude under pressure.
- Excellent communication and documentation skills.
We would prefer candidates who:
- Have Microsoft Certified: Azure Data Engineer Associate or equivalent.
- Have experience with Delta Live Tables, Unity Catalog or MLflow.
- Have familiarity with GCP or AWS.
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