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.
● Support customer operational issues with an escalated level of support.
● Ensure that the technical components of the engagement are delivered to meet
customer’s needs by working with the Project Manager, Architect, and Customer
teams.
● Collaborate with data scientists, analysts, and other stakeholders to understand
data requirements and deliver high-quality data solutions.
● Mentor and provide guidance to junior data engineers and team members.
What would help make your case:
● 4+ years experience in data engineering, data architecture, data platforms &
analytics
● At least 3+ years experience with Databricks, PySpark, Python, and SQL.
● Consulting / customer facing experience, working with external clients across a
variety of industry markets
● Comfortable writing code in both Python and SQL
● Proficiency in SQL and experience with data warehousing solutions
● Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP)
with expertise in at least one
● Strong understanding of data modeling, ETL processes, and data architecture
principles.
● Deep experience with distributed computing with Apache Spark™ and knowledge of
Spark runtime internals
● Familiarity with CI/CD for production deployments – GitHub, Azure DevOps, Azure
Pipelines
● Working knowledge of MLOps methodologies
● 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
● Build skills in technical areas which support the deployment and integration of
Databricks-based solutions to complete customer projects
● Good to have Databricks Certifications
● Strong communication and collaboration skills
● Excellent problem-solving skills
● Ability to travel up to 30% when needed
Interested?
Send in your CV to [email protected] ASAP.
