Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
& 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.
& Summary:A career within….A career within Data and Analytics services will provide you with the opportunity to helporganisationsuncover enterprise insights and drive business results using smarter data analytics. We focus on a collection oforganisationaltechnology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within theirorganisationsin order tokeep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine toleveragedata, understand and navigate risk, and help our clients gain a competitive edge.
Responsibilities
Working knowledge on big datatechnologies,Cloud AWS
Excellent working knowledge on SQL
Proficient with spark and any one or both programming languagee.g.Scala and/or Python
Demonstrated working knowledge withkafka, Airflow, DBT, Flink, Apache Iceberg, Datadog
Experience with snowflake will be a big positive
Experience with CI/CD framework implementation in conjunction with any popular code repository likeGithub
Mandatory skill sets:
Big Data,AWS,SQL, PythonScala, Spark,S3, Glue, EMR, AuroraPostGres, Lambda, Kinesis,kafka, Airflow, DBT, Flink, Apache Iceberg, Datadog, Scala, Python, NIFI, SQL
Preferred skill sets
Snowflake
Years of experiencerequired
5-8yrs
Education qualification
B.TechM.Tech M.E / MCA/B.E
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of EngineeringDegrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Big Data
Optional 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 Development, 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 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
June 26, 2026
At PwC, we help clients drive their companies to the leading edge. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help build, accelerate and sustain momentum. Find out more at www.pwc.com.
PwC: Audit and assurance, consulting and tax services
PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity. Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.
