INSenior AssociateDatabricksData AnalyticsAdvisoryGurugaon

Line of Service

Industry/Sector

Specialism

Management Level

Job Description & Summary

Why PWC

At PwC you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour clients and communities. This purpose-led and values-driven 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 foreach other. Learn more about us.

At PwC we believe in providing equal employment opportunities without any discrimination on the grounds of gender ethnic background age disability marital status sexual orientation pregnancy gender identity or expression religion or other beliefs perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.

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.

- Azure: Data Factory Synapse Analytics Functions Cosmos DB Event Grid Logic Apps Service Bus.

- GCP: Dataflow BigQuery DataProc Cloud 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. Qualifications:

- 3-8 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.

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:

3-8 years

Education qualification:

BE/BTECH ME/MTECH MBA MCA

Education (if blank degree and/or field of study not specified)

Certifications (if blank certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship

Government Clearance Required

Job Posting End Date