Summary: Seeking a highly skilled Data Software Engineer to create data-centric applications, leverage Big Data tools and cloud technologies, and collaborate on innovative solutions. Highlights: 1. Build and improve data software applications for Data Integration Engineers 2. Develop advanced analytical solutions using Spark, PySpark, and NoSQL 3. Implement cloud-based capabilities on AWS to optimize data workflows We are looking for a highly skilled and experienced **Data Software Engineer** to join our team and assist in creating data\-centric applications. You will leverage advanced Big Data tools, cloud technologies, and collaborate with various teams to deliver innovative solutions for complex business challenges. **Responsibilities** * Build and improve data software applications used by Data Integration Engineers * Develop and release advanced analytical solutions using Spark, PySpark, NoSQL, and other Big Data tools * Implement cloud\-based capabilities on AWS to streamline and optimize data workflows * Collaborate with product and engineering teams to gather input and support data\-informed decisions * Align with architects, technical leads, and partner teams to deliver consistent end\-to\-end solutions * Evaluate business requirements and technical landscapes to propose appropriate technical implementations * Perform code reviews to reinforce best practices and maintain high code quality * Test and validate solutions against functional, technical, and performance expectations * Document deliverables thoroughly to support future maintenance and enhancements * Engage with clients to capture requirements and provide expert technical guidance **Requirements** * Bachelor's or Master's degree in Computer Science, Software Engineering, or a related discipline * Relevant experience in Data Software Engineering with 2\+ years working with Big Data technologies * Solid understanding of data engineering fundamentals such as data management, storage, visualization, operations, and security * Deep knowledge of data ingestion pipelines, Data Warehousing, and Data Lakes * Hands\-on programming skills in Python, Java, Scala, or Kotlin * Proven ability with SQL and NoSQL databases * Practical expertise in Big Data tooling, especially Spark and PySpark * Experience designing and deploying solutions on AWS, including Glue and RedShift * Working knowledge of CI/CD pipelines and deployment workflows * Familiarity with containerization and tools such as Docker, Kubernetes, and Yarn * Experience using Databricks for advanced data analytics and engineering * English proficiency at B2 (Upper\-Intermediate) level or higher, written and spoken **Nice to have** * Exposure to additional Big Data tools such as Hadoop, Hive, and Flink * Knowledge of SDLC methodologies with an emphasis on Agile practices * Ability to implement and manage SDLC processes effectively