Data Software Engineer

We are looking for a highly skilled and experienced Data Software Engineer to join our team and contribute to developing data-centric applications. You will collaborate with state-of-the-art Big Data tools, cloud technologies, and cross-functional teams to design innovative solutions for complex business challenges. Responsibilities Build and enhance data software applications utilized by Data Integration Engineers Create and deploy sophisticated analytical solutions with Spark, PySpark, NoSQL, and other Big Data tools Integrate advanced features using cloud platforms like AWS to optimize data workflows Partner with product and engineering teams to gather insights and support decision-making Coordinate with architects, technical leads, and other teams to ensure unified solutions Assess business needs and technical environments to deliver well-suited technical implementations Conduct code reviews to promote best practices and ensure high-quality code Validate and test solutions against functional, technical, and performance standards Document projects comprehensively to facilitate future reference and development Engage with clients to understand their needs and provide expert technical guidance Requirements Degree in Computer Science, Software Engineering, or a related field at the bachelor’s or master’s level Background in Data Software Engineering, with 2+ years of experience in Big Data technologies Knowledge of data engineering concepts, including data management, storage, visualization, operations, and security Strong understanding of data ingestion pipelines, Data Warehousing, and Data Lakes Background in programming languages such as Python, Java, Scala, or Kotlin Expertise in SQL and NoSQL databases Proficiency in Big Data tools, particularly Spark and PySpark Capability to design and deploy solutions on AWS cloud platforms, including Glue and RedShift Understanding of CI/CD pipelines and workflows for integration and deployment Familiarity with containerization and tools like Docker, Kubernetes, and Yarn Skills in utilizing Databricks for advanced data analytics and engineering Advanced proficiency in English, both written and spoken, at a B2 level or higher Nice to have Familiarity with additional Big Data tools, including Hadoop, Hive, and Flink Understanding of SDLC methodologies, focusing on Agile practices Competency in implementing and managing the software development lifecycle effectively