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We are seeking an experienced Data Engineer with a strong background in developing ETL/ELT processes, data integration, and working with enterprise information systems.
The role involves developing and maintaining complex data processes, integrating diverse systems, data modeling, building data pipelines, and working within advanced enterprise environments.
The work environment combines traditional data technologies alongside modern Big Data platforms.
A significant portion of the development is carried out using Databricks and Apache Spark, alongside other ETL tools and data platforms.
We are looking for a candidate with high learning agility, systemic thinking, professional independence, and the ability to lead solutions end-to-end.
- Develop and maintain ETL/ELT processes
- Develop data pipelines and system integration
- Work with databases, DWH, and Big Data solutions
- Develop Batch and Streaming processes
- Perform tuning and optimization of data processes
- At least 5 years of experience as a Data Engineer
- Significant experience in developing ETL/ELT processes and data integration
- Advantage: 1+ years of experience with Databricks
- Experience in Python development
- High-level SQL skills
- Experience working with Data Warehouses / Data Lakes
- Experience with ETL tools such as Talend, Informatica, DataStage, or SSIS
- Significant Advantage: Experience with Apache Spark (PySpark / Spark SQL)