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976 KPMG India Jobs

Senior - Azure Data Engineering / ETL

5-9 years

Gurgaon / Gurugram

1 vacancy

Senior - Azure Data Engineering / ETL

KPMG India

posted 1mon ago

Job Role Insights

Flexible timing

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.


Employment Type: Full Time, Permanent

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KPMG India Interview Questions & Tips

Prepare for KPMG India Azure Data Engineer roles with real interview advice

Top KPMG India Azure Data Engineer Interview Questions

Q1. Difference between RDD, Dataframe and Dataset. How and what you have used in you databricks for data anlysis
Q2. What are key components in ADF? What all you have used in your pipeline?
Q3. Do you create any encryprion key in Databricks? Cluster size in Databricks.
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People are getting interviews at KPMG India through

(based on 506 KPMG India interviews)
Job Portal
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Campus Placement
Company Website
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Walkin
29%
19%
18%
6%
6%
2%
20% candidates got the interview through other sources.
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What people at KPMG India are saying

Azure Data Engineer salary at KPMG India

reported by 31 employees with 3-8 years exp.
₹7.6 L/yr - ₹26.5 L/yr
99% more than the average Azure Data Engineer Salary in India
View more details

What KPMG India employees are saying about work life

based on 5.2k employees
67%
89%
50%
93%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

KPMG India Benefits

Health Insurance
Work From Home
Cafeteria
Soft Skill Training
Job Training
Team Outings +6 more
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