Junior Cloud Data Engineer

Job Description

Strong SQL skills (Must-Have) Databricks (Must-Have) Cloud Platform (Azure, AWS, or GCP). Spark (hands-on experience) Basic Python programming Data modeling (Normalization & Denormalization) Data warehousing and BI tools integration Git (Version Control) Building scalable ETL pipelines Job Position Title: Junior Cloud Data Engineer Responsibilities: Responsibilities: Design, develop, and manage scalable and secure data pipelines using Azure Databricks and Azure Data Factory. Architect and implement cloud-based data solutions, integrating structured and unstructured data sources. Write clean, efficient, and reusable code primarily in Python for cloud automation, data processing, and orchestration. Build and optimize ETL workflows and ensure seamless data integration across platforms. Develop data models using normalization and denormalization techniques to support OLTP and OLAP systems. Manage Azure-based storage solutions including Azure Data Lake and Blob Storage. Troubleshoot performance bottlenecks in data flows and ETL processes. Integrate advanced analytics and support BI use cases within the Azure ecosystem. Lead code reviews and ensure adherence to version control practices (e.g., Git). Contribute to the design and deployment of enterprise-level data warehousing solutions. Stay current with Azure cloud technologies and Python ecosystem updates to adopt best practices and emerging tools.