Strong Middle Data Engineer

• 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 organizations 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

Remote Work :

Yes

Employment Type :

Full-time