PwC Acceleration Centers in India

Data Engineer-Associate-P&T

Job description

Line of Service

Internal Firm Services


Not Applicable


IFS - Internal Firm Services - Other

Management Level


Job Description & Summary

A career in Products and Technology is an opportunity to bring PwC's strategy to life by driving products and technology into everything we deliver. Our clients expect us to bring the right people and the right technology to solve their biggest problems; Products and Technology is here to help PwC meet that challenge and accelerate the growth of our business. We have skilled technologists, data scientists, product managers and business strategists who are using technology to accelerate change.

Our team collaborates with product strategy and product managers to govern readiness standards in achieving principles (compliance, privacy, security) by design for what PwC’s technology assets require to be successful in the market. They provide guidance for product development across the lifecycle (ideation / strategy through commercialization / monetization). Additionally, they facilitate market readiness for technology assets overall, as changes occur to assets or market conditions throughout the asset’s life cycle.

Preferred Knowledge/Skills

Demonstrates intimate knowledge and/or a proven record of success in the following areas:

  • Understanding architectural design and data platform delivery in technologies that include, but are not limited to cloud, ETL, data streaming, data storage, data modeling, APIs/microservices, automation, continuous integration/continuous deployment;
  • Showcasing work experience as a Data Engineer, Data Architect or similar role;
  • Showcasing data engineering knowledge around complex efforts within established Software Development Lifecycles and methodologies including agile, scrum, iterative and waterfall;
  • Showcasing technical knowledge that spans multiple platforms and portfolio of applications with demonstrated knowledge of the business strategic priorities in order to resolve complex problems;
  • Utilizing IT processes and frameworks including, but not limited to, Identity Access Management (IdAM), Enterprise Application Integration, Data Warehousing, Business Intelligence, Reporting, Mobility, Master Data Management, and Search;
  • Understanding of database structure principles;
  • Showcasing advanced experience building and maintaining optimal data pipeline architecture and data streaming and integrations using tools such as ADF, SSIS, Informatica, API Management, Enterprise Service Bus (preferably Kafka);
  • Showcasing advanced SQL knowledge and experience working with relational databases and performance optimization;
  • Demonstrating data mining and segmentation techniques;
  • Exhibiting knowledge in relational SQL, NoSQL and Big Data technologies;
  • Understanding Data Federation/Virtualization technologies, such as PowerBI, Tableau, D3.js, and implementing Cloud based solutions;
  • Assessing and analyzing system requirements;
  • Showcasing analytical skills and a problem-solving attitude;
  • Demonstrating virtual leadership and motivational skills;
  • Recommending and participating in activities related to the design, development and maintenance of the Enterprise Data Architecture;
  • developing internal relationships and PwC brand;
  • Demonstrating time management skills with the ability to handle multiple projects simultaneously;
  • Leveraging business knowledge and interpersonal skills to build, maintain, and influence relationships with leaders throughout the business and IT.

Basic Qualifications

Minimum Degree Required:

Bachelor Degree

Minimum Years Of Experience

3.0-5.0 year

Preferred Qualifications

Degree Preferred:

Master Degree

Preferred Fields Of Study

Software Engineering, Computer and Information Science, Data Processing/Analytics

Additional Educational Preferences

Other related fields of study with relevant experience may be considered.

Education (if blank, degree and/or field of study not specified)

Degrees/Field Of Study Required

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Azure Data Factory, Databricks Platform

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?


Government Clearance Required?


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