Senior Data Engineer

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.
Responsibilities

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

Requirements

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)