Azure Data Engineer - freelance

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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.

• Experience in Azure cloud-based infrastructure and Databricks implementation.

• Experience with SQL.

• Experience with Python, PySpark.

• Very good level of communication including ability to convey information clearly and specifically to co-workers and business stakeholders.

• Working experience in Agile methodologies – supporting tools (JIRA, Azure DevOps).

• English at least at B2 level, ideally C1.