Data Engineer - Azure

Job Overview

Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites. Full-time position with work contract.

Responsibilities

• 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.
• Designing and optimizing data storage architectures, including data lakes, data warehouses, or distributed file systems.
• Implementing techniques like partitioning, compression, or indexing to optimize data storage and retrieval.
• Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency.
• Designing and implementing data models that support efficient data storage, retrieval, and analysis.
• Collaborating with data scientists and analysts to understand their requirements and provide them with well-structured and optimized data for analysis and modeling purposes.
• Collaborating with cross-functional teams including data scientists, analysts, and business stakeholders to understand their requirements and provide technical solutions.
• Communicating complex technical concepts to non-technical stakeholders in a clear and concise manner.
• Independence and responsibility for delivering a solution.
• Ability to work under Agile and Scrum development methodologies.
• Train and mentor junior data engineers, providing guidance and knowledge transfer.
• Designing and implementing data processing systems on Azure platform, involving writing efficient and scalable code to process, transform, and clean large volumes of structured and unstructured data.

Skillset

• 4-6 years of professional experience in a similar role.
• 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).
• Experience or familiarity with other cloud technologies, data warehouses, data governance, and business analysis is a plus.
• Independence and responsibility in delivering solutions.
• Hands-on experience in designing and optimizing of data storage (data lakes, data warehouses, distributed file systems).