KPMG logo

Azure Data Engineer - Assistant Manager

KPMG

Bengaluru
Full-time
Experienced
128000 - 135000

Job Description

A Databricks Data Engineer is responsible for designing, building, and maintaining data solutions that leverage Databricks' powerful capabilities on the cloud platform

Required Skills

Hands-on experience in Azure and Big Data technologiesWell versed in DevSecOps and CI/CD deploymentsExperience in using Big Data File FormatsJavaPythonSQLStrong verbal/written communication

Key Responsibilities

  • Designing and deploying data pipelines that efficiently process vast amounts of data using Databricks, optimizing for performance and scalability
  • Implementing robust data models and architectures utilizing Databricks, ensuring data quality and integrity
  • Engaging in continuous improvement activities, researching new technologies and methodologies to enhance data solutions

Job Information

Job TypeFull-time
ExperienceExperienced
Experience Range5-10 years
Vacancies10
Work Location
Campus 7, Floor 6, Devarabeesanahalli, Marathahalli Outer Ring Road, Bengaluru, 560103
Campus Recruitmentno
Monthly Salary₹128000 - ₹135000
Annual CTC19.8 LPA
Salary TypeFixed
Interview FormatIn-Person / Walk-In-Interview

Qualifications & Eligibility

Education Requirements

Graduate: B.Sc (IT/Computer Science), B.Tech

Eligibility Criteria

English LevelFluent

About KPMG

Company Overview

Working at KPMG offers you a platform to grow with a team of diverse, passionate, highly skilled professionals. Grounded in a culture of trust, we're committed to creating a workplace that is equitable, inclusive and that prioritises the mental health and well-being

Company Details

IndustryOther
Company Size1000+
LocationBengaluru
Founded1987

Hiring Workflow

Know what to expect. Here is the typical process for this position.

Application

Submit your application to be considered for this role.

01

Virtual Interview

Face-to-face video interview with the hiring team.

Venue: Virtual — To be announced

02

Selection

Final evaluation and selection of qualified candidates.

03

Offer Release

Congratulations! Offer letter will be released to selected candidates.

04

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