Data Software Engineer

Description

Summary: Seeking a highly skilled Data Software Engineer to advance data-centric applications using cutting-edge Big Data tools and cloud technologies to deliver innovative solutions. Highlights: 1. Develop and refine data software applications for innovative solutions 2. Work with cutting-edge Big Data tools and AWS cloud technologies 3. Collaborate across teams to deliver solutions for complex business challenges We are looking for a highly skilled and experienced **Data Software Engineer** to join our team to advance the development of data\-centric applications. This role involves working with cutting\-edge Big Data tools, cloud technologies, and collaborating across teams to deliver innovative solutions for complex business challenges. **Responsibilities** * Develop and refine data software applications used by Data Integration Engineers * Build and deploy sophisticated analytical solutions with Spark, PySpark, NoSQL, and other Big Data tools * Integrate AWS cloud services to improve and automate data workflows * Support product and engineering teams by collecting insights and enabling better decisions * Coordinate across architects, technical leads, and other teams to ensure cohesive implementations * Determine business needs and technical context to deliver appropriate technical solutions * Conduct code reviews to maintain coding standards and promote best practices * Validate and test deliverables against functional, technical, and performance requirements * Maintain thorough project documentation for future reference and iteration * Interact with clients to clarify needs and provide expert technical advice **Requirements** * Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a similar field * 2\+ years of experience in Data Software Engineering focused on Big Data technologies * Comprehensive understanding of data engineering areas such as data management, storage, visualization, operations, and security * Strong expertise in data ingestion pipelines, Data Warehousing, and Data Lakes * Proficiency across Python, Java, Scala, or Kotlin for building data\-centric software * Extensive knowledge of SQL as well as NoSQL databases * Proven hands\-on experience with Spark and PySpark * Ability to implement and deploy data solutions on AWS, including Glue and RedShift * Familiarity with CI/CD pipelines and integration/deployment workflows * Experience with containerization using Docker, Kubernetes, and Yarn * Practical knowledge of Databricks for advanced analytics and engineering workloads * English proficiency at B2 (Upper\-Intermediate) level or above in speaking and writing **Nice to have** * Familiarity with Hadoop, Hive, Flink, and other Big Data tools * Knowledge of SDLC methodologies, with Agile experience * Capability to implement and manage SDLC processes effectively