Senior Data Software Engineer

We are seeking a skilled **Senior Data Software Engineer** to play a critical role in building reliable, data\-centric applications. In this role, you will utilize your expertise in Big Data technologies, cloud platforms, and engineering best practices to create and implement cutting\-edge systems. You will work closely with multidisciplinary teams to align with organizational goals and deliver impactful solutions. **Responsibilities** * Develop and support data software applications designed for Data Integration Engineers * Design and implement advanced analytics platforms using technologies such as Spark, PySpark, and NoSQL databases * Leverage cloud solutions like AWS to optimize workflows and improve system efficiency * Collaborate with product and engineering teams to collect requirements and contribute to strategic decision\-making * Work with architects, technical leads, and other stakeholders to ensure seamless integration of solutions * Analyze technical environments and business needs to deliver scalable, high\-performance implementations * Perform code reviews to uphold development standards and ensure quality control * Test and validate systems to verify they meet functional, technical, and performance benchmarks * Prepare and maintain detailed documentation to support both development and operational processes * Engage directly with clients to understand their needs and provide customized technical recommendations **Requirements** * Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related discipline * Minimum of 3 years of experience in Data Software Engineering with expertise in Big Data technologies * Thorough understanding of data engineering principles, including storage, management, security, and visualization * Experience with data pipelines, Data Warehousing, and Data Lakes concepts * Proficiency in programming languages such as Python, Java, Scala, or Kotlin * Extensive experience with SQL and NoSQL database systems * Practical knowledge of Big Data tools, particularly Spark and PySpark * Proven experience designing and deploying cloud\-based solutions using AWS services such as Glue and RedShift * Familiarity with CI/CD pipelines to streamline integration and deployment processes * Understanding of containerization and resource management tools like Docker, Kubernetes, and Yarn * Experience working with Databricks for advanced data engineering and analytics projects * Strong English communication skills, both written and verbal, at a B2 level or above **Nice to have** * Hands\-on experience with additional Big Data tools, including Hadoop, Hive, and Flink * Knowledge of SDLC methodologies, with an emphasis on Agile frameworks * Demonstrated ability to manage and execute the software development lifecycle effectively