07 Sep
|
Sublime Data
|
India
07 Sep
Sublime Data
India
Job Description
About Us
nSublime Data is a boutique data engineering and AI consulting firm, Databricks partner, building specialized expertise in data platform modernization and agentic AI implementation for clients.
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nWhat You'll Do
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- Design, build, and maintain data pipelines using Databricks (PySpark, Delta Lake, Delta Live Tables, Workflows)n
- Work directly with client stakeholders to understand requirements, provide updates, and troubleshoot issues — this is a client-facing role, not purely back-office deliveryn
- Participate in technical discovery and client interviews as part of our presales and onboarding processn
- Collaborate with our architecture team on solution design for current client engagementsn
- Support data migration and modernization projects across cloud platforms (Azure primary, AWS/GCP as needed)n
- Travel to client locations as required for project kickoffs, workshops, or on-site delivery phasesn
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nWhat We're Looking For
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- 2-5 years of total data engineering experience,
with at least 2 years of hands-on Databricks experience (PySpark, SQL, Delta Lake)n
- Databricks certification (Data Engineer Associate/Professional) is a strong plus, not mandatoryn
- Strong SQL and Python fundamentalsn
- Exposure to at least one other data platform — Snowflake, Microsoft Fabric, or native AWS/GCP data services — is a genuine advantagen
- Comfortable communicating directly with clients — confident in explaining technical work to non-technical or semi-technical stakeholdersn
- Ability to join within 15 days or immediatelyn
- Based in or willing to relocate to Ahmedabad — this is an in-office role, not remoten
- Willingness to travel for client engagements as neededn
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nGood to Have
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- Experience with Unity Catalog, MLflow, or Databricks Workflows specificallyn
- Prior client-facing consulting or services company experience (vs. pure product company background)n
- Exposure to any GenAI/LLM tooling (LangChain,
📌 Data Engineer (India)
🏢 Sublime Data
📍 India