Azure Data Engineer

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
• Integrating and transforming data to ensure its compatibility with the target data model or format
• Hands-on 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
• Independence and responsibility in delivering solutions
• Ability to work under agile methodologies

Requirements:

• At least 5 years of experience in Azure cloud-based infrastructure, Databricks and one of SQL implementation (e.g., Oracle, T-SQL, MySQL, etc.)
• At least 4 years of experience within Data&Analytics
• Very good level of communication including ability to convey information clearly and specifically to co-workers and business stakeholders
• Working experience in the agile methodologies – supporting tools (JIRA, Azure DevOps)
• English at least at B2 level, ideally C1
• Experience or familiarity with other cloud technologies, data warehouses, data governance, and business analysis is a plus
• Knowledge of Python - nice to have
• Programming skills for data analysis (especially PySpark, SparkSQL) - nice to have

Offer:

• Private medical care
• Life insurance
• Sports card
• Training & learning opportunities