Strong Middle Data Engineer

Company Description Are you passionate about building scalable, high-performance data solutions? We are looking for a Data Engineer to join our team and help design and develop robust data platforms that power analytics, reporting, and data-driven decision-making. Why join us? You will work on challenging projects, collaborate with talented experts, and have access to professional growth opportunities, a supportive environment, and competitive benefits. Job Description • Design and develop scalable, reliable data platforms and pipelines for analytics and operations • Implement data processing workflows using distributed frameworks (Apache Spark/pySpark, Databricks) • Evolve the organization’s cloud data platform leveraging Azure technologies (Data Factory, Synapse, Event Hub, Azure Data Lake Storage) • Model data to support analytics, reporting, and downstream consumption • Integrate and process data from multiple sources ensuring quality and consistency • Monitor and optimize pipeline performance, ensuring reliability and scalability • Collaborate with analysts, scientists, and engineers to translate requirements into solutions • Improve data engineering standards, testing, and operational reliability • Evaluate and introduce new tools and technologies in the data engineering ecosystem Qualifications • 4+ years of hands-on experience in data engineering or building data processing platforms • Strong SQL skills and solid Python experience for pipeline development • Experience with distributed processing frameworks (Apache Spark/pySpark, Databricks preferred) • Practical experience designing and implementing pipelines in cloud environments (Azure preferred) • Experience with production-scale analytical systems and data modeling • Understanding of ETL/ELT design, dimensional modeling, and data warehousing principles • Experience with modern data lake architectures and formats (Parquet, JSON) • Familiarity with workflow orchestration tools (Airflow) • Experience with database development and optimization • Ability to design scalable solutions with minimal supervision • Strong collaboration and communication skills • Professional proficiency in English