INSenior AssociateGCP Data EngineerData AnalayticsAdvisoryGurgaon
INSenior AssociateGCP Data EngineerData AnalayticsAdvisoryGurgaon
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
Senior AssociateJob Description & Summary
At PwC our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.In business intelligence at PwC you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
*Why PWC
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 GCP cloud platform leveraging services.
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 GCP and proficiency in GCP services.
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:
GCP Pyspark Spark
Preferred skill sets:
GCP Pyspark Spark
Years of experience required:
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
Good Clinical Practice (GCP)Optional Skills
Accepting Feedback Accepting Feedback Active Listening Analytical Thinking Business Case Development Business Data Analytics Business Intelligence and Reporting Tools (BIRT) Business Intelligence Development Studio Communication Competitive Advantage Continuous Process Improvement Creativity Data Analysis and Interpretation Data Architecture Database Management System (DBMS) Data Collection Data Pipeline Data Quality Data Science Data Visualization Embracing Change Emotional Regulation Empathy Inclusion Industry Trend Analysis 12 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
Employment Type
Full-Time
