Employer Active
Job Alert
You will be updated with latest job alerts via emailJob Alert
You will be updated with latest job alerts via emailLine of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
SAPManagement Level
Senior AssociateJob 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.*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 purposeled and valuesdriven 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 & 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.
Implement data ingestion processing and storage
solutions on Azure cloud platform leveraging
services such as Azure Databricks Azure Data Lake
Storage and Azure Synapse Analytics.
Develop and maintain data models schemas and
metadata to support efficient data access query
performance and analytics requirements.
Monitor pipeline performance troubleshoot issues
and optimize data processing workflows for
scalability reliability and costeffectiveness.
Implement data security and compliance measures to
protect sensitive information and ensure regulatory
compliance.
Requirement
Proven experience as a Data Engineer with expertise
in building and optimizing data pipelines using
PySpark Scala and Apache Spark.
Handson experience with cloud platforms
particularly Azure and proficiency in Azure services
such as Azure Databricks Azure Data Lake Storage
Azure Synapse Analytics and Azure SQL Database.
Strong programming skills in Python and Scala with
experience in software development version control
and CI/CD practices.
Familiarity with data warehousing concepts
dimensional modeling and relational databases (e.g.
SQL Server PostgreSQL MySQL).
Experience with big data technologies and
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 EngineeringDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
PySpark Python (Programming Language)Optional Skills
Accepting Feedback Accepting Feedback Active Listening Analytical Reasoning Analytical Thinking Application Software Business Data Analytics Business Management Business Technology Business Transformation Communication Creativity Documentation Development Embracing Change Emotional Regulation Empathy Implementation Research Implementation Support Implementing Technology Inclusion Intellectual Curiosity Learning Agility Optimism Performance Assessment Performance Management Software 16 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Senior IC
Full-Time