InfoCepts
Data Engineer- Databricks + AI
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Pune, Maharashtra, India
Work mode:
Onsite
Published on:
9 September 2026
What they need
Position: Data Engineer- Databricks + AI
Purpose of the Position:
Build and enhance AI Agents and modern pipelines leveraging Databricks platform features and services.
Location: Nagpur/ Pune/ Bangalore/ Chennai
Key Responsibilities:
- Work with account/project architects to understand and translate requirements into technical implementations following the AI First strategy.
- Develop, implement, and maintain Agents and pipelines using python/pyspark within Databricks eco system by using the native support.
- Code, test, and document new or modified data systems to create robust and scalable applications for data analytics.
Roles and Responsibilities
Work and Technical Experience:
Mandatory Skills:
- 6+ years of overall experience with 4+ years of hands-on Databricks experience, PySpark and Python
- Understanding of Databricks Agent framework Agent Bricks. Built RAG pipelines using langchain
- Capability to build Genie Agent Chatbot and fine tuning
- Worked on complex business processes and implementations of Big Data Projects
- Understand end to end lakehouse build up on Databricks and usage of Genie code.
- Thorough understanding of Databricks Unity Catalog, Notebook, Autoloader, Data apps, Genie and other key services/features
- Proficiency in SQL and data manipulation skills
- Understanding of data warehousing concepts and technologies.
Desirable Skills:
- Understanding of AWS platform and its key services like S3, Lambda etc.
- Familiarity with ETL processes and tools for data extraction, transformation, and loading.
- Familiarity with AI/BI dashboards in Databricks, Agentic workflows in Databricks
Qualifications:
- Bachelor’s degree in computer science, engineering, or related field
- Demonstrated continued learning through one or more technical certifications or related methods
- 6+ years of relevant experience in Data Engineering
- Relevant experience in Retail domain
Qualities:
- Self-motivated and focused on delivering outcomes for a fast-growing team and firm
- Able to communicate persuasively through speaking, writing, and client presentations
- Able to consult, write, and present persuasively
- Able to work in a self-organized and cross-functional team
- Able to iterate based on new information, peer reviews, and feedback
- Able to work with teams and clients in different time zones
- Research focused mindset
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