Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
- Gratuity calculator
  
  Check your gratuity amount
- HRA calculator
  
  Check how much of your HRA is tax-free
- Salary hike calculator
  
  Check your salary hike
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 2K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

WINNERS AWAITED!
- ABECA 2025
  
  WINNERS AWAITED!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

For Employers

Add office photos

Employer? Claim Account for FREE

KPMG India

Compare

3.5

based on 5.5k Reviews

12 KPMG India Azure Data Engineer Jobs

Manager - Azure Data Engineering

KPMG India

3.5

based on 5.5k Reviews

5-10 years

Bangalore / Bengaluru

1 vacancy

Manager - Azure Data Engineering

KPMG India

posted 3mon ago

Job Role Insights

Flexible timing

Key skills for the job

Computer Networking Data Architecture Focus Professional Services

Job Description

Data Architecture Design: Designing and implementing scalable, distributed, and high-performance data architectures using AWS services like Amazon S3, Amazon Redshift, Amazon EMR, AWS Glue, and others
Data Processing and ETL: Building and managing Extract, Transform, Load (ETL) pipelines to collect, process, and transform large volumes of data using AWS tools like AWS Glue, Apache Spark, or custom scripts
Data Warehousing: Developing and managing data warehouse solutions using AWS Redshift or other relevant technologies to enable efficient data storage and analytics
Data Governance and Security: Implementing data governance frameworks, access controls, encryption, and compliance standards to ensure data security and regulatory compliance
Data Visualization and Analytics: Integrating data with analytics and visualization tools like AWS QuickSight, Tableau, or Power BI to derive insights and support decision-making processes
Performance Optimization: Optimizing data pipelines, storage, and querying performance for enhanced efficiency and cost-effectiveness
Qualifications and Skills:AWS Expertise: Proficiency in various AWS data services like S3, Redshift, Glue, EMR, Lambda, Kinesis, and related AWS data analytics and storage solutions
Data Engineering Skills: Strong understanding of data modeling, ETL processes, data warehousing, data lakes, and big data technologies
Programming and Scripting: Proficiency in programming languages like Python, SQL, Scala, or Java, as well as scripting for data processing tasks
Data Visualization Tools: Familiarity with tools for data visualization and analytics like QuickSight, Tableau, or Power BI
Key Attributes:Analytical Thinking: Ability to analyze complex data sets, identify patterns, and derive actionable insights
Problem-Solving Skills: Capability to troubleshoot data-related issues and optimize data pipelines for efficiency
Team Collaboration: Effective communication and collaboration with cross-functional teams, data scientists, analysts, and stakeholders