Description:

About DataNimbus:

At DataNimbus, we are on a mission to redefine how organizations leverage Data and AI to drive growth, innovation, and efficiency. Our pioneering products, such as DataNimbus Designer (a cloud-native ETL designer), datanimbus.io (a comprehensive data and integration platform), FinHub.ai (payment modernization platform) empower businesses to simplify complex workflows, adopt cutting-edge technology, and achieve sustainable scalability.

With headquarters in the U.S. and offices in India and Canada, DataNimbus operates globally, fostering a culture of responsible innovation, adaptability, and customer-centricity. We pride ourselves on being a trusted partner for customers navigating the complexities of Data+AI and payment modernization.

Why Join DataNimbus ?

At DataNimbus, we believe in shaping a sustainable, AI-driven future while offering an environment that prioritizes learning, innovation, and growth. Our core values Customer-Centricity, Simplicity, Curiosity, Responsibility, and Adaptability are the foundation of our workplace, ensuring every team member can make a meaningful impact. Joining DataNimbus means being part of a dynamic team where you can:

- 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