Senior Data Software Engineer

We are looking for an experienced Senior Data Software Engineer with a deep understanding of Apache Spark, Python/Java/Scala and proficiency with any cloud providers. In this role, you will develop and maintain data pipelines, working closely with cross-functional teams. If you are passionate about using your data engineering skills to make a significant impact and excel in a collaborative, growth-oriented environment, we encourage you to apply and join us. Responsibilities Develop and maintain data pipelines for efficient data processing and analysis Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions Create and maintain technical documentation for all data engineering projects Work with data scientists to ensure models are production-ready Ensure all data engineering solutions are high-quality, reliable and scalable Troubleshoot and resolve data-related issues promptly and efficiently Stay up-to-date with emerging data engineering technologies and trends Participate in code reviews to ensure code quality and adherence to standards Requirements 3+ years of experience in Data Software Engineering Expertise in Apache Spark, Python/Java/Scala Background in developing and maintaining data pipelines Proficiency in SQL and relational tables Understanding of SDLC, quality gates and Agile methodologies B2+ English level, both verbal and written Hands-on experience with any major cloud provider: Azure, AWS or GCP Nice to have Competency in statistical models and their practical applications Familiarity with Databricks and MLOps for efficient model deployment and management Hands-on experience with streaming processing technologies like Kafka, Spark Streaming and Flume Practical or theoretical knowledge of NoSQL databases