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2200 PwC Jobs
IN-Senior Associate_Azure data Engineer_Data & Analytics_Advisory
3-10 years
Bangalore / Bengaluru
1 vacancy
IN-Senior Associate_Azure data Engineer_Data & Analytics_Advisory
PwC
posted 5mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Line of Service
Advisory Industry/Sector
Not Applicable Specialism
Data, Analytics & AI Management Level
Senior Associate Job Description & Summary
A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.
*Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our 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 we'llbeing, 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 for each 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 firm s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
Responsibilities: Job Description :
Analyses current business practices, processes,
and procedures as we'll as identifying future
business opportunities for leveraging Microsoft
Azure Data & Analytics Services.
Provide technical leadership and thought
leadership as a senior member of the Analytics
Practice in areas such as data access & ingestion,
data processing, data integration, data modeling,
database design & implementation, data
visualization, and advanced analytics.
Engage and collaborate with customers to
understand business requirements/use cases and
translate them into detailed technical
specifications.
Develop best practices including reusable code,
libraries, patterns, and consumable frameworks
for cloud-based data warehousing and ETL.
Maintain best practice standards for the
development or cloud-based data warehouse
solutioning including naming standards.
Designing and implementing highly performant
data pipelines from multiple sources using Apache
Spark and/or Azure Databricks
Integrating the end-to-end data pipeline to take
data from source systems to target data
repositories ensuring the quality and consistency
of data is always maintained
Working with other members of the project team
to support delivery of additional project
components (API interfaces)
Evaluating the performance and applicability of
multiple tools against customer requirements
Working within an Agile delivery / DevOps
methodology to deliver proof of concept and
production implementation in iterative sprints.
Integrate Databricks with other technologies
(Ingestion tools, Visualization tools).
Proven experience working as a data engineer
Highly proficient in using the spark framework
(python and/or Scala)
Extensive knowledge of Data Warehousing
concepts, strategies, methodologies.
Direct experience of building data pipelines using
Azure Data Factory and Apache Spark (preferably
and procedures as we'll as identifying future
business opportunities for leveraging Microsoft
Azure Data & Analytics Services.
Provide technical leadership and thought
leadership as a senior member of the Analytics
Practice in areas such as data access & ingestion,
data processing, data integration, data modeling,
database design & implementation, data
visualization, and advanced analytics.
Engage and collaborate with customers to
understand business requirements/use cases and
translate them into detailed technical
specifications.
Develop best practices including reusable code,
libraries, patterns, and consumable frameworks
for cloud-based data warehousing and ETL.
Maintain best practice standards for the
development or cloud-based data warehouse
solutioning including naming standards.
Designing and implementing highly performant
data pipelines from multiple sources using Apache
Spark and/or Azure Databricks
Integrating the end-to-end data pipeline to take
data from source systems to target data
repositories ensuring the quality and consistency
of data is always maintained
Working with other members of the project team
to support delivery of additional project
components (API interfaces)
Evaluating the performance and applicability of
multiple tools against customer requirements
Working within an Agile delivery / DevOps
methodology to deliver proof of concept and
production implementation in iterative sprints.
Integrate Databricks with other technologies
(Ingestion tools, Visualization tools).
Proven experience working as a data engineer
Highly proficient in using the spark framework
(python and/or Scala)
Extensive knowledge of Data Warehousing
concepts, strategies, methodologies.
Direct experience of building data pipelines using
Azure Data Factory and Apache Spark (preferably
in Databricks).
Hands on experience designing and delivering
solutions using Azure including Azure Storage,
Azure SQL Data Warehouse, Azure Data Lake,
Azure Cosmos DB, Azure Stream Analytics
Experience in designing and hands-on
development in cloud-based analytics solutions.
Expert level understanding on Azure Data Factory,
Azure Synapse, Azure SQL, Azure Data Lake, and
Azure App Service is required.
Designing and building of data pipelines using API
ingestion and Streaming ingestion methods.
Knowledge of Dev-Ops processes (including
CI/CD) and Infrastructure as code is essential.
Thorough understanding of Azure Cloud
Infrastructure offerings.
Strong experience in common data warehouse
modeling principles including Kimball.
Working knowledge of Python is desirable
Experience developing security models.
Databricks & Azure Big Data Architecture
Certification would be plus
Must be team oriented with strong collaboration,
prioritization, and adaptability skills required
Hands on experience designing and delivering
solutions using Azure including Azure Storage,
Azure SQL Data Warehouse, Azure Data Lake,
Azure Cosmos DB, Azure Stream Analytics
Experience in designing and hands-on
development in cloud-based analytics solutions.
Expert level understanding on Azure Data Factory,
Azure Synapse, Azure SQL, Azure Data Lake, and
Azure App Service is required.
Designing and building of data pipelines using API
ingestion and Streaming ingestion methods.
Knowledge of Dev-Ops processes (including
CI/CD) and Infrastructure as code is essential.
Thorough understanding of Azure Cloud
Infrastructure offerings.
Strong experience in common data warehouse
modeling principles including Kimball.
Working knowledge of Python is desirable
Experience developing security models.
Databricks & Azure Big Data Architecture
Certification would be plus
Must be team oriented with strong collaboration,
prioritization, and adaptability skills required
Mandatory skill sets: ADE, ADB, ADF
Preferred skill sets: ADE, ADB, ADF
Years of experience required: 3-10 Years
Education qualification: BE, B.Tech, MCA, M.Tech
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering Certifications (if blank, certifications not specified)
Required Skills
Android Debug Bridge (ADB) Optional Skills
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship
Government Clearance Required
Job Posting End Date
Employment Type: Full Time, Permanent
Read full job descriptionPwC Interview Questions & Tips
Prepare for PwC Azure Data Engineer roles with real interview advice
What people at PwC are saying
Rating based on 2 Azure Data Engineer
reviews
Anonymous · Engineering - Software & QA
in Bangalore / Bengaluru
Likes
The only thing is learning curve
- Skill development - Good
+1 more
Dislikes
There are many a few listed below No work life balance No recognition Every body shows off saying I worked for these many hours without putting themselves first The higher management's only thinks about money. They earn 5x on you and will give you peanuts. There are no enough or relevant resources for projects so don’t be surpris..Read More
- Salary - Poor
+4 more
Azure Data Engineer salary at PwC
reported by
51
employees
with 2-6
years exp.
₹5.2
L/yr - ₹17.9
L/yr
25%
more
than the average Azure Data Engineer Salary in India
View more details
What PwC employees are saying about work life
based on 9k 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
View more benefits 
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