Data Software Engineer
We are searching for a talented and experienced Data Software Engineer to join our team and drive the creation of data-focused applications. You will utilize leading-edge Big Data tools, cloud technologies, and collaborate across teams to deliver innovative solutions that solve intricate business problems. Responsibilities Engineer and enhance data software applications that support Data Integration Engineers Design and deploy advanced analytical solutions using Spark, PySpark, NoSQL, and other Big Data tools Leverage AWS services to add cloud features that improve data workflow efficiency Partner with product and engineering teams to gather requirements and enable decision support Collaborate with architects, technical leads, and other teams to maintain solution consistency Assess business goals and technical constraints to recommend the right implementations Lead code review activities to encourage best practices and strong code quality Execute validation and testing across functional, technical, and performance criteria Produce and maintain detailed documentation to support ongoing development Work directly with clients to understand needs and provide expert technical direction Requirements Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related area 2+ years of hands-on Data Software Engineering experience with Big Data technologies Good command of data engineering principles covering data management, storage, visualization, operations, and security Strong grasp of ingestion pipelines along with Data Warehousing and Data Lakes Programming experience in Python, Java, Scala, or Kotlin Advanced knowledge of SQL and NoSQL data stores Proficiency with Spark and PySpark in production data solutions Ability to architect and deploy AWS-based solutions using Glue and RedShift Familiarity with CI/CD approaches for integration and deployment workflows Exposure to Docker, Kubernetes, and Yarn for containerized delivery Working experience with Databricks for analytics and data engineering English level of minimum B2 (Upper-Intermediate) for effective communication Nice to have Working knowledge of Hadoop, Hive, Flink, and related Big Data tooling Understanding of SDLC methodologies with Agile as a key approach Experience applying and governing SDLC implementation practices