Senior Data Engineer

Overview

Eaton Corporation’s Center for Intelligent Power is hiring a Senior Engineer- Machine Learning Engineering to engineer, deploy, monitor and maintain machine learning models at scale. The role requires understanding of machine learning and software engineering and collaboration with other teams to deliver business-requested features.

What you'll do

• Develop and maintain Data Engineering pipelines.
• Develop and maintain continuous integration and deployment (CI/CD) pipelines for machine learning models.
• Collaborate with data scientists to integrate software best practices, templates and other ML principles to reduce cycle time when productionizing machine learning software.
• Develop and maintain documentation and training materials for machine learning solutions.
• Keep up to date with emerging technologies and trends in data engineering and cloud infrastructure.
• Work closely with other teams to make sure the requested features by the businesses are delivered.

What you'll need

• Bachelor’s degree in Electronics/Electrical/Computer Science Engineering from accredited institution.
• Minimum 5 years’ professional experience in data engineering.
• Experience with cloud infrastructure such as AWS, Azure, or GCP.
• Experience with writing data engineering pipeline code with coding best practices.
• Solid proficiency of SQL and relational databases as well as non-relational (NoSQL, time-series) database systems.
• Proven hands-on experience in Python.
• Experience with CI/CD pipelines and containerization technologies such as Docker and Kubernetes.
• Experience building APIs to support data consumption needs of other roles.
• Strong understanding of software engineering best practices, including version control, testing, and deployment.
• Strong analytical and problem-solving skills.
• Excellent communication skills and ability to work collaboratively with other teams.
• Ability to manage multiple projects and priorities in a fast-paced environment.

Nice to have

• Master’s degree in Electrical/Computer/Electronics & Telecomm Engineering from accredited institution.
• Experience with big data technologies such as Hadoop, Spark, or Kafka.
• Familiarity with DevOps practices and tools.
• Excellent verbal and written communication skills including the ability to effectively explain technical solutions as a part of virtual and global teams.
• Good interpersonal, negotiation and conflict resolution skills.
• Problem solving skills, self-directed and drive to learn, with the ability to independently find interesting ways to push the envelope while learning new skills and growing Self and the team.
• Team player; the team works in small, fast moving teams.

Details

• Location: Hadapsar, Pune, Maharashtra, India, 411013.