DataNimbus offers AI-powered solutions to modernize core business processes, focusing on data and AI-centric applications. Their platform, built with no-code design tools and a plug-and-play…
DataNimbus offers AI-powered solutions to modernize core business processes, focusing on data and AI-centric applications. Their platform, built with no-code design tools and a plug-and-play…
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Description
At DataNimbus, we are on a mission to redefine how organisations 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 modernisation.
Why Join DataNimbus?
At DataNimbus, We Believe In Shaping a Sustainable, AI-driven Future While Offering An Environment That Priorities Learning, Innovation, And Growth. Our Core ValuesCustomer-Centricity, Simplicity, Curiosity, Responsibility, And Adaptabilityare 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 revolutionise 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're 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
What Would Help Make Your Case
(ref:hirist.tech)
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.
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 SparkTM 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
