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Salary
≈ $28k – $53k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Staff · 8+ years exp

First seen by Alion on Oct 22, 2026.

Overview
Company
Impact
Profile match
DataNimbus is a B2B enterprise tech company that delivers analytics, AI-driven insights, payment orchestration, and consulting services to help financial and data-intensive industries modernize operations.

Responsibilities:

  • Handle a variety of impactful customer technical projects that may include designing and building reference architectures, creating how-tos, and professionalizing customer use cases
  • Work with engagement managers to scope a variety of professional services and work with input from the customer
  • Guide strategic customers as they implement transformational big data projects and 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 that lead to a customer's successful understanding, evaluation, and adoption of Databricks.
  • Provide an escalated level of support for customer operational issues
  • Collaborate with the project manager, architect, and customer teams to ensure the technical components of the engagement are delivered to meet customer needs
  • Mentor and guide junior data engineers and team members.


Requirements:

  • 6+ years of experience in data engineering, data platforms, and analytics on the Databricks platform.
  • Experience with large-scale data migrations to/from Databricks.
  • Consulting/customer-facing experience, working with external clients across a variety of industry markets.
  • Comfortable writing code in either Python or Scala.
  • Working knowledge of two or more common cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
  • Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals.
  • Familiarity with CI/CD for production deployments.
  • Working knowledge of MLOps.
  • Design and deployment of performant end-to-end data architectures.
  • Experience with technical project deliverymanaging scope and timelines.
  • Documentation and white-boarding skills.
  • Experience working with clients and managing conflicts.
  • Deployment and integration of Databricks-based solutions to complete customer projects.
  • Must have Databricks certifications.
  • Strong communication and collaboration skills.
  • Excellent problem-solving skills.
  • Ability to travel up to 30% when needed.

Skills

Apache Spark, Databricks, Python, Scala, Spark

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