DataNimbus - Senior Data Engineer - Databricks
Posted on: 21/11/2025
Job Description
Description :
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
- 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 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
- Good to have Databricks Certifications
- Strong communication and collaboration skills
- Excellent problem-solving skills
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Applications: 27
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1577867
