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Senior Cloud Data Architect
3 weeks ago
We are seeking a highly skilled and motivated Data Engineering Expert with strong expertise in designing, developing, and optimizing data pipelines, enabling advanced analytics, and leveraging scalable big data solutions.
The ideal candidate will have hands-on experience with modern data lake architectures on cloud-based platforms, particularly with the Azure stack.
- Design, build, and maintain robust, scalable, and efficient data pipelines for Extract, Transform, Load (ETL) or Load, Transform, Extract (ELT) processes.
- Develop and manage data lake architectures using Azure or Amazon Web Services (AWS), ensuring high availability, performance, and security.
- Implement and optimize data solutions using Databricks, Azure Data Factory, Delta Lake, and other modern tools.
Key responsibilities include collaborating with analytics and data science teams to enable access to curated datasets and insights, implementing and managing NoSQL databases and big data processing frameworks like Apache Spark, and developing and documenting best practices for ETL patterns, data modeling, and governance.
RequirementsRequired skills and experience include proven experience in data engineering and analytics roles, with a focus on cloud-based platforms, expertise in working with Azure or AWS ecosystems, and proficiency in programming languages such as Python, Scala, or SQL for data manipulation and pipeline development.
- Proficiency in big data technologies like Apache Spark and Delta Lake.
- Strong experience with NoSQL databases (e.g., CosmosDB, MongoDB, DynamoDB).
- Solid understanding of ETL/ELT patterns and hands-on implementation experience.