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About DataNimbus At DataNimbus, we are on a mission to redefine how organizations leverageData and AIto drive growth, innovation, and efficiency. Our pioneering products, such asDataNimbus 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 ofresponsible innovation, adaptability, and customer-centricity . We pride ourselves on being a trusted partner for customers navigating the complexities ofData+AIand payment modernization.Why Join DataNimbus? At DataNimbus, we believe in shaping asustainable, AI-driven futurewhile offering an environment that prioritizeslearning, 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 andrevolutionize workflows in Data+AI solutions. Contribute to solutions that aretrusted by global businessesfor their scalability, security, and efficiency. Grow personally and professionallyin 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.Key Responsibilities: 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.Required Qualifications: 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.Interested? Send in your CV to careers@ ASAP!