Data Engineer / ROR
Summary
Designs and maintains scalable data pipelines using Databricks, Apache Spark, and Microsoft Azure to process large datasets and deliver business insights.
For our client, we are looking for experienced Data Engineer. If you have a strong background in data engineering, Big Data technologies, and cloud-based data solutions, we'd be happy to hear from you.
Main Responsibilities:
- Design, develop, and maintain scalable data solutions and data pipelines.
- Build and optimize data processing workflows.
- Work with Databricks and Apache Spark to process large volumes of data.
- Develop and maintain data solutions within the Microsoft Azure ecosystem.
- Collaborate with data analysts, architects, and other stakeholders to deliver business value.
- Ensure data quality, performance, and security across data platforms.
Qualifications
Must Have
- Proven experience as a Data Engineer.
- Hands-on experience with Databricks.
- Experience with Azure Data Processing and Storage Services.
- Practical experience working with Apache Spark.
- Strong knowledge of SQL.
- Experience developing solutions in Python.
- Good understanding of Big Data processing standards, tools, and best practices.
- Proficiency in Polish language.
- English language skills at B2 level or higher.
Nice to Have
- Bachelor's or Master's degree in Computer Science, Data Engineering, Mathematics, or a related field.
- Experience working on Big Data projects utilizing Databricks and Spark.