Senior Data Engineer

Minimum 5 years of professional software development experienceStrong experience with Apache Spark and platforms such as Databricks or Azure Synapse / FabricAdvanced proficiency in Python, including data processing using Pandas, Polars, or similar toolsSolid understanding of modern data formats and storage solutionsExperience in building and maintaining data processing, transformation, and analytics pipelinesStrong analytical thinking and problem-solving skills with attention to detailAbility to balance structured engineering standards with practical delivery needsExcellent organizational and self-management skills, including prioritization and delivery under time constraintsGood understanding of microservices-based architectures and distributed system design ,[Establish and promote engineering standards and coding best practices across the development team, Review code to ensure consistency, maintainability, and alignment with agreed guidelines, Work independently while also actively collaborating with distributed team members, Provide clear technical guidance and coordinate day-to-day development activities, Engage in regular communication with client stakeholders, Design, develop, and maintain scalable distributed systems and data-processing applications (including Spark-based workloads), Optimize solutions for performance, scalability, and reliable data processing, Collaborate closely with cross-functional teams to deliver high-quality software solutions, Investigate, troubleshoot, and resolve technical issues to ensure system stability and performance, Produce and maintain technical documentation covering code, workflows, and system design] Requirements: Apache Spark, Databricks, Azure Synapse, Python, Data processing, Pandas, Polars, Modern data formats, Storage solutions, Analytical skills, Problem-Solving, Microservices architecture Additionally: Sport subscription, Private healthcare, Insurance.