Data Engineer (Hadoop, Spark, Kafka)

Role Data Engineer (Hadoop, Spark, Kafka)Location Bentonville, AR (Onsite)Exp need 6+ yearsJob DescriptionDesign, develop, and support backend and data engineering solutions using Hadoop, Spark, Kafka, and streaming technologies.Build and maintain scalable backend systems using Java, J2EE, Python, and Scala.Uphold and promote high standards of code quality, system reliability, performance, and scalability.Perform data modeling and support data migration protocols across systems.Develop and support cloud-based solutions on platforms such as GCP or Azure.Integrate systems using orchestration and scheduling tools such as Automic and Airflow.Support data warehousing and BI solutions, as needed.Essential SkillsStrong hands-on experience with Hadoop, Spark, Kafka, and streaming frameworks.Proficiency in one or more programming languages, including Scala, Python, or Java.Experience developing backend systems using J2EE technologies.Solid experience working with cloud platforms such as GCP or Azure.Strong understanding of data modeling and data migration processes.Experience with integration and workflow tools such as Automic and Airflow.Exposure to GCP-based data platforms, data warehousing, and BI tools (preferred).Strong focus on writing high-quality, reliable, and high-performance codeDiverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.