Azure Data Engineer - freelance

Description

Tasks

• 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.

Requirements

• 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.

Nice to have:

• 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.