Apply for PwC Off Campus Drive 2025! Hiring Cloud Data Engineer Job in Bangalore (2-5 years exp). Work with AWS, Databricks, Spark, Kafka, ETL, Delta Tables. Apply now to advance your data engineering career.
Candidates who are interested in PwC Off Campus Drive Job Openings can go through the below to get more information.
Key Job details of Cloud Data Engineer jobs
Company: PwC
Qualifications: BE/BTech/ME/MTech
Experience Needed: 2-5 years
Job Req ID: 644274WD
Location: Bangalore
Start Date: 28th July 2025
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Job Description
We are seeking an experienced Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering and be proficient in a variety of data technologies, including Teradata, DataStage, AWS, Databricks, SQL, and more. As a Data Engineer, you will be responsible for designing, implementing, and maintaining scalable data pipelines and systems that support our data-driven initiatives.
Minimum Degree Required: Bachelor’s degree in computer science/IT or relevant field
Degree Preferred: Master’s degree in computer science/IT or relevant field
Minimum Years of Experience: 2 – 5 year(s)
Certifications Required: NA
Key Responsibilities:
Design, develop, and maintain scalable ETL pipelines using DataStage and other ETL tools.
Leverage AWS cloud services for data storage, processing, and analytics.
Utilize Databricks to analyze, process, and transform data, ensuring high performance and reliability.
Implement and optimize Delta Live Tables and Delta Tables for efficient data storage and querying.
Work with Apache Spark to process large datasets, ensuring optimal performance and scalability.
Integrate Kafka and Spark Streaming to build real-time data processing applications.
Collaborate with cross-functional teams to gather requirements and deliver data solutions that meet business needs.
Ensure data quality, integrity, and security across all data systems and pipelines.
Monitor and troubleshoot data workflows to ensure smooth operations.
Document data processes, architecture designs, and technical specifications.
Qualifications:
Bachelor’s degree in Computer Science, Information Technology, or a related field.
Proven experience as a Data Engineer or in a similar role.
Strong proficiency in SQL and experience with relational databases such as Teradata.
Hands-on experience with AWS services such as S3, EMR, Redshift, and Lambda.
Proficiency in using Databricks for data engineering tasks.
Experience with Delta Live Tables and Delta Tables in a data engineering context.
Solid understanding of Apache Spark, Kafka, and Spark Streaming.
Experience with messaging systems like MQ is a plus.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.
Preferred Skills:
Experience with data warehousing and big data technologies.
Familiarity with data governance and data security best practices.
Certification in AWS or Databricks is a plus.
Apply Now for PwC Cloud Data Engineer Jobs
How to Apply PwC Off Campus Drive 2025
Click on Apply to Official Link PwC Above – You will go to the Company Official site
First of all Check, Experience Needed, Description and Skills Required Carefully.
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Interview Questions
Technical:
- Explain how you would optimize a Spark job handling large datasets.
- What are Delta Tables, and how do they improve data pipeline reliability?
- Describe your experience with AWS services in data engineering workflows.
- Explain how Kafka and Spark Streaming integrate for real-time data processing.
- What steps do you take to ensure data quality and pipeline reliability?
Scenario:
6. How would you debug a failed ETL job in Databricks?
7. Describe your approach to building a scalable pipeline for unstructured data ingestion.
8. How do you handle schema evolution in Delta Live Tables?
Behavioral:
9. Share a challenge faced while working cross-functionally and how you overcame it.
10. How do you ensure continuous learning in the fast-evolving data engineering domain?