Data & Analytics Tech – GCP – Manager Job Vacancy in PwC Bengaluru, Karnataka – Updated today

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Company Name : PwC
Location : Bengaluru, Karnataka
Position :

Job Description : Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data and Analytics Technologies
Management Level
Manager
Job Description & Summary
A career in our Advisory Acceleration Centre is the natural extension of PwC’s leading class global delivery capabilities. We provide premium, cost effective, high quality services that support process quality and delivery capability in support for client engagements.
GCP Data Engineer JOB DESCRIPTIONS

As a part of Analytics Insights practice, Enterprise strategy & Data management

capability, this position will provide a platform to work in strategic and tactical initiatives

across various industries. PwC offers its services to clients across the globe and helps

them with their enterprise wide business challenges in the area Data and Analytics.

Specific responsibilities for this role include architecting requirements across existing

and identified capabilities to ensure appropriate leveraging of existing resources as well

as the development of new capabilities that can be immediately used thereby

decreasing cycle times improving data capabilities and optimizing operating expenses

using GCP services

QUALIFICATIONS

Minimum undergraduate technical degree .B.E. or BTech or equivalent. or post-graduation

degree in Computer Applications

Experience: – 12-14 years of experience in Data engineering Essential Skills For GCP DE –

ETL

Experience in GCP .Google Cloud Platform.Experience in Architecting and Designing

solutions leveraging Google Cloud products such as Cloud BigQuery, Cloud

DataFlow, Kubernetes, Cloud Pub/Sub, Cloud Big Table and TensorFlow will be highly

preferred.

Experience in delivering artifacts such as scripts (Python), dataflow components

Strong experience with SQL

Experience in building and optimizing large scale data pipeline systems.

Experience in Big Data Analytic frameworks and query tools such as Spark Hadoop Hive

Impala etc.

Experience working with SQL and NoSQL databases like MongoDB Cassandra.

Good understanding of Big data design patterns and performance tuning.

Experience with data pipeline and workflow management tools: Azkaban Oozie etc.

Strong Data Warehousing experience building operational ETL or ELT pipelines

comprised of several sources and architecting Data Models or Layers for Analytics

Streaming Data Integration experience with Sqoop and Kafka

Experience in working on projects using NIFI

Able to Benchmark systems analyze system bottlenecks and propose solutions to eliminate

them.

Experience with Migration of Workloads from on-prem/other public clouds to Google

Cloud Platform.

Knowledge or working experience on 1-2 projects in an alternate cloud environment such as AWS or Azure will be a bonus
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Desired Languages (If blank, desired languages not specified)
Travel Requirements
0%
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date

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