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
(ref:hirist.tech)
