Senior Data Engineer (Spark/Scala)

We are looking for a highly skilled Senior Data Engineer with strong experience in designing, building, and maintaining scalable data solutions. The ideal candidate has a deep understanding of ETL processes, big data technologies, and modern analytics platforms, and is comfortable working in fast-paced, data-driven environments. Key Responsibilities Design, develop, and optimize robust ETL pipelines to support data ingestion, transformation, and processing at scale. Build and maintain high-performance data models to support analytics, reporting, and data science initiatives. Work with large-scale distributed systems and data lake architectures (Apache Hive, AWS S3, etc.). Ensure data quality through strong validation practices and automated testing. Collaborate closely with cross-functional teams to deliver secure, clean, and reliable data to downstream consumers. Implement and maintain CI/CD pipelines and align code to static analysis tools such as Sonar or Fortify. Work with BI tools and platforms (Databricks, Power BI, Starburst, etc.) to enable effective data visualization and insights.