Senior Databricks Data Engineer

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:

  • 8+ 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

Interested?
Send in your CV to [email protected] ASAP.

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