Skip to content
e2eHiringFor employers

Find your next opportunity

Jobs in India

Explore roles for students, freshers and experienced professionals.

Open roles

PwC IndiaEmployer profile

Data Engineer|Bangalore

Location not specified · 5–7 yrs

Experience
5–7 yrs
Salary
Not disclosed
Location
Location not specified
Work mode
Not specified
Job type
Full-time
Apply by
Closing date not listed
Posted
12 Dec 16

About this role

Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Emerging Technologies

Management Level
Senior Associate

Job Description & Summary
A career in our New Technologies practice, within Application and Emerging Technology services, will provide you with a unique opportunity to help our clients identify and prioritise emerging technologies that can help solve their business problems. We help clients design approaches to integrate new technologies, skills, and processes so they can drive business results and innovation.

Our team helps organisations to embrace emerging technologies to remain competitive and improve their business by solving complex questions. Our team focuses on identifying and prioritising emerging technologies, breaking into new markets, and preparing clients to get the most out of their emerging technology investments.


Role Overview:
As a Data Engineer, you will play a crucial role in designing, implementing, and managing our data architecture. You'll work
closely with cross-functional teams to ensure our data solutions are scalable, reliable, and can support our advanced analytics
and AI initiatives.
Mandatory Skills:
5-7 years of Data experience
Proficiency in Python programming.
Extensive experience with Spark for large-scale data processing.
Expertise in both SQL and NoSQL database technologies.
Familiarity with Azure Data Services for managing and analyzing data.
Solid understanding of data architecture principles.
Experience in presales activities, including solution crafting and client presentations.
Preferred Skills:
Experience with Kubernetes for orchestrating containerized applications.
Knowledge of AI/ML principles and how they apply to data engineering.
Proficiency in Power BI for data visualization and analytics.
Responsibilities:
Design and implement robust data pipelines for various data sources and formats.
Develop and manage data architecture that supports complex data analysis and ML model deployment.
Collaborate with AI/ML teams to ensure data solutions are optimized for advanced analytics.
Lead presales discussions, demonstrating the value of our data engineering capabilities to prospective clients.
Stay abreast of emerging technologies and trends in data engineering to continuously innovate our practices.

Mandatory skill sets-Python,Spark,SQL/Nosql, Azure Data Services, Data Architecture, Presales
Preferred skill sets-Kubernetes, AI/ML, Power BI
Year of experience required-5 to 7 years
Qualifications-Graduate Engineer or Management Graduate

Required Skills
Data Analysis, Data Engineering, Presales, Python (Programming Language), Spark SQL, Structured Query Language (SQL)

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date
June 30, 2024







Skills

Information Technology
View full job details →