Data And Analytics Job Alerts At PwC :-
PwC is hiring candidates for the role of Associate Cloud Data Engineer – Data & Analytics for the Hyderabad, India (Pan India) locations. The complete details about Data And Analytics Job Alerts At PwC are as follows.
| Company Name:- | PwC |
| Required Education: | BE/BTECH, ME/MTECH, MBA, MCA |
| Required Skills: | Python, Pyspark, SQL with (AWS or Azure or GCP) 2-4 years of experience in data engineering with a strong focus on cloud environments. |
| Job Category: | Data And Analytics & AI |
| Management Level: | Associate |
Qualifications
- Education qualification: BE/BTECH, ME/MTECH, MBA, MCA
- 2-4 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.
- In-depth knowledge and hands-on experience with cloud services(AWS/Azure/GCP):
- Demonstrated ability in performance optimization of Spark jobs.
- Strong problem-solving 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.
Roles & Responsibilities:
PwC is 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 cross-functional teams to deliver robust data solutions.
- Work on Spark Streaming for real-time data processing as necessary.
Skills Required
Job Description & Summary:
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 decision-making 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.
Data And Analytics Job Alerts At PwC Application Process:-
Apply In Below Link
Note:– Only shortlisted candidates will receive the call letter for further rounds
