Software Engineer

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Full job description

Collaborate with decision scientists to enable and optimize AI/ML workflows through data engineering and platform support. Support Spark, Hive, and Hadoop jobs including troubleshooting and performance optimization. Participate in agile sprint cycles, review designs, provide feedback, and ensure delivery. Contribute to best practices for application development. Gather requirements for platform and application enhancements and implement them. Continuously learn and expand skills in data engineering and cloud technologies. Support migration of data/applications to cloud platforms (AWS, Azure, Databricks, GCP). Learn and contribute to Databricks platform solutions. Requires 3+ years software development experience in scalable, distributed environments. Proficient in Scala, Python, or Java. Familiar with Apache Spark, Hadoop, Hive. Experience with cloud platforms and interest in cloud migration. Exposure to Kubernetes, Docker, Airflow is a plus. Strong problem-solving and communication skills. BA/BS in Computer Science or related field required. Hadoop and Spark certifications are a plus.