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2755 PwC Jobs
Specialist 2_Cloud Data Engineer-- Data and Analytics_Advisory
0-1 years
Bangalore / Bengaluru
1 vacancy
Specialist 2_Cloud Data Engineer-- Data and Analytics_Advisory
PwC
posted 6hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Management Level
Specialist & Summary
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
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 Data Engineers.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.
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.
Implement data ingestion and transformation processes to facilitate efficient data warehousing.
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
01 years of experience in data engineering with a strong focus on cloud environments.
Proficiency in PySpark or Spark.
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.
Proficiency in PySpark or Spark.
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
Preferred skill sets
Python, Pyspark, SQL
Years of experience required
01 years
Education qualification
BCA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required Bachelor of Technology Certifications (if blank, certifications not specified)
Required Skills
Python Software Development Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 7 more} Available for Work Visa Sponsorship?
No Government Clearance Required?
No Employment Type: Full Time, Permanent
Read full job descriptionPrepare for Cloud Data Engineer roles with real interview advice
What people at PwC are saying
Rating based on 2 Cloud Data Engineer
reviews
Anonymous · Other
Likes
Learning activities
- Salary - Good
+1 more
Dislikes
Working 14-16 hours
- Job security - Bad
+1 more
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 9k employees
Flexible timing
Monday to Friday
No travel
Day Shift
PwC Benefits
Submitted by Company
Staff discounts Professional Memberships In-house learning tools Referral Bonuses Corporate Plan
Submitted by Employees
View more benefits 
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