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Senior Associate_Cloud Data Engineer_Data and Analytics
4-7 years
Gurgaon / Gurugram
1 vacancy
Senior Associate_Cloud Data Engineer_Data and Analytics
PwC
posted 15d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
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.
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.
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.
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
47 years
Education qualification
BE/BTECH, ME/MTECH, MBA, MCA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required Master of Engineering, Bachelor of Technology, Master of Business Administration, Bachelor of Engineering Certifications (if blank, certifications not specified)
Required Skills
PySpark, Python (Programming Language), Structured Query Language (SQL) Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation, Data ValidationEmployment Type: Full Time, Permanent
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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 8.8k 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
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