Azure Data Engineer - freelance

Responsibilities

• 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.
• 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.

Preferred

• Experience or familiarity with other cloud technologies, data warehouses, data governance, and business analysis.
• Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.

Experience in

Azure cloud-based infrastructure and

Databricks implementation.

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.