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PwC

Compare

3.4

based on 8.5k Reviews

2080 PwC Jobs

Associate_Cloud Data Engineer-- Data and Analytics_Advisory_Pan India

Pricewaterhouse Coopers Private Limited

3.4

based on 8.5k Reviews

2-4 years

Gurgaon / Gurugram

1 vacancy

Associate_Cloud Data Engineer-- Data and Analytics_Advisory_Pan India

PwC

posted 17hr ago

Job Role Insights

Flexible timing

Key skills for the job

AWS SQL Cloud Computing Cloud Services GCP Data Processing

+ 4 more

Job Description

A career within PWC

Responsibilities

We are seeking skilled and dynamic Cloud Data Engineers specializing in AWS, Azure, Databricks, and GCP. The ideal candidate will have a strong background in data engineering, with a focus on data ingestion, transformation, and warehousing. They should also possess excellent knowledge of PySpark or Spark, and a proven ability to optimize performance in Spark job executions.

Design, build, and maintain scalable data pipelines for a variety of cloud platforms including AWS, Azure, Databricks, and GCP.
Implement data ingestion and transformation processes to facilitate efficient data warehousing.
Utilize cloud services to enhance data processing capabilities
AWS Glue, Athena, Lambda, Redshift, Step Functions, DynamoDB, SNS.

Azure Data Factory, Synapse Analytics, Functions, Cosmos DB, Event Grid, Logic Apps, Service Bus.

GCP Dataflow, BigQuery, DataProc, Cloud Functions, Bigtable, Pub/Sub, Data Fusion.

Optimize Spark job performance to ensure high efficiency and reliability.
Stay proactive in learning and implementing new technologies to improve data processing frameworks.
Collaborate with crossfunctional teams to deliver robust data solutions.
Work on Spark Streaming for realtime data processing as necessary.

Qualifications

24 years of experience in data engineering with a strong focus on cloud environments.
Proficiency in PySpark or Spark is mandatory.
Proven experience with data ingestion, transformation, and data warehousing.
Indepth knowledge and handson experience with cloud services(AWS/Azure/GCP)
Demonstrated ability in performance optimization of Spark jobs.
Strong problemsolving skills and the ability to work independently as well as in a team.
Cloud Certification (AWS, Azure, or GCP) is a plus.
Familiarity with Spark Streaming is a bonus.

Mandatory skill sets

Python, Pyspark, SQL with (AWS or Azure or GCP)

Preferred skill sets

Python, Pyspark, SQL with (AWS or Azure or GCP)

Years of experience required

24 years

Employment Type: Full Time, Permanent

Read full job description

Prepare for Cloud Data Engineer roles with real interview advice

People are getting interviews at PwC through

(based on 862 PwC interviews)

Campus Placement

Job Portal

Referral

Company Website

Walkin

Recruitment Consultant

29%

28%

15%

18% candidates got the interview through other sources.

High Confidence

What people at PwC are saying

3.8

Rating based on 2 Cloud Data Engineer reviews

Anonymous · Data Science & Analytics - Other in ALAPPUZHA

Likes

Learning activities

Dislikes

Working 14-16 hours

Read 2 reviews

Cloud Data Engineer salary at PwC

reported by 7 employees

₹4.5 L/yr - ₹17.3 L/yr

At par with the average Cloud Data Engineer Salary in India

View more details

What PwC employees are saying about work life

based on 8.5k employees

75%

89%

58%

88%

Flexible timing

Monday to Friday

No travel

Day Shift

View more insights

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PwC Gurgaon / Gurugram Office Locations

View all

Gurgaon / Gurugram (2)

Gurgaon Office

Building 10,, Tower C, DLF Cyber City Gurgaon
Haryana 122002

Gurgaon Office

Building 8, Tower B,DLF Cyber City,Gurgaon Gurgaon
122002