Informacje o stanowisku

technologies-expected :

• SQL
• Python
• Java
• Scala
• Spark
• Flink
• AWS

• Design and maintain efficient data pipelines, data lakes, and data warehouses.
• Build and optimize ETL processes to ensure seamless data flow across platforms.
• Manage and monitor database performance, ensuring data quality, security, and availability.
• Collaborate with analysts, data scientists, and developers to deliver scalable data solutions.
• Contribute to the continuous improvement of data architecture and engineering best practices.
• Stay current with new tools, trends, and technologies in the data space.

• 4+ years of experience as a Data Engineer or similar role.
• Solid SQL skills and hands-on experience with both relational and NoSQL databases.
• Proficiency in Python, Java, or Scala.
• Experience with data processing frameworks (e.g., Spark, Flink) and ETL workflows.
• Familiarity with cloud platforms (especially AWS) and tools like Databricks.
• Strong communication skills and ability to translate technical solutions into business value.

• A collaborative, creative, and data-driven environment.
• A diverse team of designers, analysts, engineers, and trend experts.
• Access to modern tech stack and opportunities for growth.
• Flexible working model and supportive company culture.
• Benefits package including private health insurance and more.

• sharing the costs of sports activities
• sharing the costs of professional training & courses
• life insurance

Kraków - Oferty pracy w okolicznych lokalizacjach