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Position Details: Databricks Framework Engineer
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| Openings: | 1 |
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Description:
Position : Databricks Framework Engineer.Hello Vendors,
Please find the minutes of the calibration call & summary of JD as below, kindly expedite and share best 5 profiles for this role:
JP ID
Skill
Databricks Framework Engineer
Number of positions
1
Experience
5 - 8 Years (2-3 relevant in databricks)
IC/TL role
IC - Client Facing
Skill Details
Databricks, PySpark and SQL, GenAI / Agentic AI, workflow orchestration, CI/CD, scripting in Python.
This is more of research and development role.
Work Location
Any Deloitte USI Location
Rounds of interview
2 Rounds (R2 will be client round)
Mode of interview (Virtual/In-person)
Virtual
Work Timing
11 am - 8 pm shift
Skillset required:
• Strong data engineering background with hands-on Databricks (notebooks, jobs, clusters, Delta Lake, Unity Catalog)
• Proficiency in Pysprak and SQL
• GenAI / Agentic AI concepts (LLMs, RAG, agents, prompt engineering) and Databricks AI/ML tooling (Mosaic AI, MLflow, Model Serving, Vector Search)
• Automation skills (workflow orchestration, CI/CD, scripting in Python)
• Ability to do independent R&D — evaluate and prototype newly released Databricks features
• Understanding of data frameworks and how features plug into them
Please follow below format to share tracker.
Job Seeker ID
Job seeker ID
Vendor Name
Applicant Name
Skill
Mobile Number
Email ID
Applicant Location
Current employer
Total Exp
Relevant Exp
Notice Period
Rate
Position : Databricks Framework Engineer.
Hello Vendors,
Please find the minutes of the calibration call & summary of JD as below, kindly expedite and share best 5 profiles for this role:
JP ID
Skill
Databricks Framework Engineer
Number of positions
1
Experience
5 - 8 Years (2-3 relevant in databricks)
IC/TL role
IC - Client Facing
Skill Details
Databricks, PySpark and SQL, GenAI / Agentic AI, workflow orchestration, CI/CD, scripting in Python.
This is more of research and development role.
Work Location
Any Deloitte USI Location
Rounds of interview
2 Rounds (R2 will be client round)
Mode of interview (Virtual/In-person)
Virtual
Work Timing
11 am - 8 pm shift
Skillset required:
• Strong data engineering background with hands-on Databricks (notebooks, jobs, clusters, Delta Lake, Unity Catalog)
• Proficiency in Pysprak and SQL
• GenAI / Agentic AI concepts (LLMs, RAG, agents, prompt engineering) and Databricks AI/ML tooling (Mosaic AI, MLflow, Model Serving, Vector Search)
• Automation skills (workflow orchestration, CI/CD, scripting in Python)
• Ability to do independent R&D — evaluate and prototype newly released Databricks features
• Understanding of data frameworks and how features plug into them
Please follow below format to share tracker.
Job Seeker ID
Job seeker ID
Vendor Name
Applicant Name
Skill
Mobile Number
Email ID
Applicant Location
Current employer
Total Exp
Relevant Exp
Notice Period
Rate
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