Data Engineer

Experis to światowy lider rekrutacji specjalistów i kadry zarządzającej w kluczowych obszarach IT. Z nami znajdziesz konkurencyjne oferty zatrudnienia oraz ciekawe projekty IT skierowane zarówno do ekspertów z wieloletnim doświadczeniem, jak i osób, które dopiero zaczynają swoją przygodę w branży IT.

• Strong expertise in Azure Databricks, Python, and Spark.
• Solid experience with Azure Data Services, including Azure Data Lake and Azure Data Factory.
• Experience with ingestion tools such as Qlik Recplicate, MQ, MQCC.
• Experience with API development (REST/JSON or equivalent).
• Solid understanding of ETL processes, data modeling, and fundamental data architecture principles.
• Familiarity with CI/CD pipelines and version control (Git).
• Strong problem-solving skills and structured working within an agile delivery model.
• Excellent communication and collaboration skills with business stakeholders.

Nice to have:

• Experience with big data processing and performance tuning in Spark.
• Knowledge of data governance, lineage, and security best practices.
• Exposure to Power BI or similar visualization tools.

• Design, develop, and optimize data pipelines and workflows using Azure Databricks and Python.
• Implement and maintain data solutions across the Azure Data Platform (Data Lake, Data Factory, Databricks, etc.).
• Develop and maintain APIs supporting data ingestion, data sharing, and interoperability.
• Collaborate closely with business stakeholders to gather requirements and translate them into technical solutions.
• Ensure data quality, security, and compliance across all solutions.
• Integrate data solutions into existing business processes and cross-functional systems.
• Continuously improve performance, cost-efficiency, and scalability of data systems.