
Cloud Data Solutions Expert
4 days ago
Key Responsibilities
- Data Pipeline Development: Design, build, and maintain robust, scalable data pipelines to ingest, transform, and load data from various sources into the cloud data platform.
- Data Modeling and Warehousing: Develop conceptual, logical, and physical data models for data warehouses and data lakes using star schema, snowflake schema, and other data modeling techniques.
- Data Lake Management: Manage data storage and organization within a secure, governed environment ensuring proper folder structures, security, and data lifecycle management.
- Data Transformation: Utilize tools like dbt to transform raw data into analytics-ready datasets.
- Azure Service Integration: Integrate and work with Azure Synapse Analytics, Azure Databricks, Azure Functions, and Cosmos DB to build comprehensive data solutions.
- ETL/ELT Processes: Implement and optimize Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes to ensure data is moved efficiently and accurately.
Requirements
- 4+ years of experience with key cloud data services including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure Databricks.
- Strong proficiency in SQL and at least one programming language such as Python or Spark.
- Solid understanding of data warehousing principles, data modeling, and ETL/ELT concepts.
- CI/CD experience with version control systems like Git and Continuous Integration/Continuous Deployment (CI/CD) practices using Azure DevOps.
- Ability to work effectively with cross-functional teams to understand requirements and deliver data solutions.
- Excellent analytical and problem-solving skills to deliver high-quality, reliable data solutions.
- Strong verbal and written communication skills to articulate technical concepts to both technical and non-technical stakeholders.
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