Agent
Jobs
Applied
Tracker
Profile
    1. Jobs for you
    2. Job

    Job · 16498993

    PUNE · FULLTIME

    Data Engineer- Databricks + AI

    Infocepts Technologies logo

    Infocepts Technologies

    Pune · onsite · Posted 42d ago

    Sourced fromNaukri
    Undisclosed5–7 yrsfulltimePune

    About a minute. You'll make an account on the way through.

    agent · working

    • Read this posting0.2s
    • Found the form on Naukri · 11 questions to answer1.0s
    • Decided the answers for all of them2.8s
    • Tailor your résumé to this role
    • Waiting for you

    Section · 01

    About this role

    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

     

    Sourced from naukri

    Section · 02

    Skills

    dashboardsdata extractionApache SparkHiveHdfsdata manipulationamazon web servicesdata warehousing conceptslambda expressionssqoopCatalogdataetl processAnalyticsApache HadoopData AnalyticsworkflowDatabricksPysparkData EngineeringPythonTableauSQLData WarehousingETLNotebookBig Data

    Section · Company

    About Infocepts Technologies

    Infocepts Technologies logo

    Infocepts Technologies

    IT Services & Consulting

    1.2k+

    employees

    2004

    22 years old

    Seattle, Washington

    US

    ₹10.7L PA avg

    Avg at Infocepts Technologies

    About

    Infocepts Technologies exclusively Focused on Data & Analytics, InfoCepts Builds Products and Solutions to Automate, Accelerate and Scale Analytics Successes

    Industries

    IT Services & Consulting

    Employee ratings

    10 reviews

    3.4/ 5

    Culture

    2.8

    Career growth

    2.7

    Work-life

    3.2

    Employees rate it well for

    Company Culture35Work-Life Balance35

    Find them on

    WebsiteLinkedInAmbitionBox reviews

    Data Engineer- Databricks + AI · waiting for your command