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1656 PwC Jobs

IN Senior Associate Cloud Data Engineer Data and Analytics

4-7 years

Hyderabad / Secunderabad

1 vacancy

IN Senior Associate Cloud Data Engineer Data and Analytics

PwC

posted 12d ago

Job Role Insights

Flexible timing

Job Description

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decisionmaking and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us .
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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.
Key Responsibilities
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
47 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)

Employment Type: Full Time, Permanent

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What people at PwC are saying

3.7
 Rating based on 2 Cloud Data Engineer reviews

Likes

Learning activities

  • Salary - Good
    +1 more
Dislikes

Working 14-16 hours

  • Job security - Bad
    +1 more
Read 2 Cloud Data Engineer 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 8.8k employees
75%
89%
58%
88%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

PwC Benefits

Submitted by Company
Staff discounts
Professional Memberships
In-house learning tools
Referral Bonuses
Corporate Plan
Buy more leave! +7 more
Submitted by Employees
Work From Home
Health Insurance
Cafeteria
Job Training
Soft Skill Training
Free Transport +6 more
View more benefits

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Plot no. 77/A, 8-624/A/1,3rd Floor,Road No. 10,Banjara Hills,Hyderabad Hyderabad
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