• Work with cutting-edge technologies and revolutionize workflows in Data+AI solutions.
• Contribute to solutions that are trusted by global businesses for their scalability, security, and efficiency.
• Grow personally and professionally in a culture that values curiosity and continuous learning.

If you are passionate about innovation, ready to solve complex challenges with simplicity, and eager to make a difference, DataNimbus is the place for you.

What Do We Want You To Do

• Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues
• Collaborate with the Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needs
• Mentor and provide guidance to junior data engineers and team members.

What Would Help Make Your Case

• 6+ years experience in data engineering, data platforms & analytics on Databricks platform.
• Experience with large scale data migrations to/from Databricks
• Consulting / customer facing experience , working with external clients across a variety of industry markets
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines
• Documentation and white-boarding skills
• Experience working with clients and managing conflicts
• Deployment and integration of Databricks-based solutions to complete customer projects
• Must have Databricks Certifications
• Strong communication and collaboration skills

(ref:hirist.tech)