Software Engineer

• Provide support for Spark, Hive, and Hadoop jobs, including troubleshooting and performance analysis and optimization.
• Participate in agile sprint cycles, helping to review designs, provide feedback, and ensure successful delivery.
• Contribute to best practices for application development.
• Gather requirements for platform and application enhancements and work with the team to implement them.
• Continuously learn and expand your technical skills in data engineering and cloud technologies.
• Support the migration of existing data or applications to cloud platforms (AWS, Azure, Databricks or GCP)
• Learn and contribute to solutions on the Databricks platform, enabling data science and analytics at scale.

• 3+ years of software development experience in a scalable, distributed, or multi-node environment.
• Proficient in programming with Scala, Python, or Java; comfortable building data-driven solutions at scale.
• Familiarity with Apache Spark and exposure to Hadoop, Hive, or related big data technologies.
• Experience with cloud platforms (AWS, Azure, Databricks or GCP) and an interest in cloud migration projects.
• Excited to learn and work with the Databricks platform.
• Exposure to modern data tools and frameworks such as Kubernetes, Docker, and Airflow (a plus).
• Strong problem-solving skills with the ability to own problems end-to-end and deliver results.
• Consultative attitude - comfortable being "first in," building relationships, communicating broadly, and tackling challenges head-on.
• Collaborative teammate with an eagerness to learn from peers and mentors while contributing to a culture of growth.
• Motivated to grow your career within a dynamic, innovative company.

What you'll bring:

• BA/BS in Computer Science or related discipline.
• At least 3 years of experience.
• Hadoop certification is a plus.
• Spark certification is a plus.