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Not ApplicableSpecialism
Data Analytics & AIManagement Level
Senior AssociateJob Description & Summary
At PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights enabling informed decisionmaking and driving business growth.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 :
4 8
Education qualification:
/ / 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
Data ScienceOptional Skills
Accepting Feedback Accepting Feedback Active Listening Agile Scalability Amazon Web Services (AWS) Analytical Thinking Apache Hadoop Azure Data Factory Communication Creativity Data Anonymization Database Administration Database Management System (DBMS) Database Optimization Database Security Best Practices Data Engineering Data Engineering Platforms Data Infrastructure Data Integration Data Lake Data Modeling Data Pipeline Data Quality Data Transformation Data Validation 18 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