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We are seeking Azure Data Engineers experienced with Databricks. Ideal candidates will have hands-on experience in designing and implementing data pipelines, data warehousing solutions, and ETL workflows.
Designing and implementing data processing systems on Azure platform. This involves writing efficient and scalable code to process, transform, and clean large volumes of structured and unstructured data.
Building data pipelines to ingest data from various sources such as databases, APIs, or streaming platforms.
Integrating and transforming data to ensure its compatibility with the target data model or format.
Experience in designing and optimizing of data storage (data lakes, data warehouses, distributed file systems)
Familiarity with partitioning, compression, optimization of data storage and retrieval.
Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency.
Collaborating with cross-functional teams including data scientists, analysts, and business stakeholders to understand their requirements and provide technical solutions.
Taking ownership and demonstrating responsibility throughout the solution delivery process, ensuring that all tasks are executed efficiently, effectively, and to the highest standard.
Ability to work under Agile methodologies.