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Data Engineer- Databricks + AI

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Onsite

Data Engineer- Databricks + AI

InfoCepts

Data Engineer- Databricks + AI

Skills

SQL QueriesBig DataData EngineeringData MiningPythonAWS LambdaDatabricksData AnalysisAIAWSPySpark

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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