[Hiring] Azure Data Engineer @Lingaro

Role Description

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.
• 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.
• Ability to work under Agile methodologies.

Qualifications

• 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.

Requirements

• Nice to have: Experience or familiarity with other cloud technologies, data warehouses, data governance, and business analysis.

Benefits

• 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.