Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
SAP
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.
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 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 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. "
Job Description & Summary: A career within…. 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.
Responsibilities: ● Design, develop, and optimize data pipelines and ETL
processes using PySpark or Scala to extract,
transform, and load large volumes of structured and
unstructured data from diverse sources.
solutions on Azure cloud platform, leveraging
services such as Azure Databricks, Azure Data Lake
Storage, and Azure Synapse Analytics.
metadata to support efficient data access, query
performance, and analytics requirements.
and optimize data processing workflows for
scalability, reliability, and cost-effectiveness.
protect sensitive information and ensure regulatory
compliance.
Requirement
in building and optimizing data pipelines using
PySpark, Scala, and Apache Spark.
particularly Azure, and proficiency in Azure services
such as Azure Databricks, Azure Data Lake Storage,
Azure Synapse Analytics, and Azure SQL Database.
experience in software development, version control,
and CI/CD practices.
dimensional modeling, and relational databases (e.g.,
SQL Server, PostgreSQL, MySQL).
frameworks (e.g., Hadoop, Hive, HBase) is a plus.
Mandatory skill sets: Spark, Pyspark, Azure
Preferred skill sets: Spark, Pyspark, Azure
Years of experience required: 4 - 8
Education qualification: B.Tech / M.Tech / MBA / MCA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering, Master of Engineering
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
PySpark, Python (Programming Language)
Optional Skills
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date
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