IN-Senior Associate_GCP Data Engineer_Data & Analytics_Advisory_Gurgaon
IN-Senior Associate_GCP Data Engineer_Data & Analytics_Advisory_Gurgaon
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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 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 decision-making and driving business growth.In data engineering at PwC you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines data integration and data transformation solutions.
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 cost-effectiveness.
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.
Hands-on 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 :
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 Master of Engineering Bachelor 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 Airflow Apache Hadoop Azure Data Factory Communication Creativity Data Anonymization Data Architecture Database Administration Database Management System (DBMS) Database Optimization Database Security Best Practices Databricks Unified Data Analytics Platform Data Engineering Data Engineering Platforms Data Infrastructure Data Integration Data Lake Data Modeling Data Pipeline 27 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
