Data and Analytics Engineering - Data Engineering - Associate

PwC Service Delivery Center; Pune District; Presencial; INR 800.000 - 1.200.000; Jornada completa

Descripción de la vacante

PwC Service Delivery Center in Pune, India seeks an Associate-level Data Engineering professional to design and build data infrastructure and pipelines. You will implement data integration and transformation solutions, enabling actionable insights for clients.

You will engage with diverse teams, manage ambiguity, and develop technical and leadership capabilities while delivering high-quality data solutions aligned with PwC standards.

Formación

• Experience in data engineering concepts, pipelines, and transformations.
• Familiarity with cloud data platforms and modern ETL tooling.
• Ability to work with diverse stakeholders and client teams.

Responsabilidades

• Design and build robust data infrastructure and pipelines.
• Implement data integration and transformation solutions.
• Collaborate with clients to understand requirements and deliver value.
• Navigate ambiguity and grow technical and leadership capabilities.

Conocimientos

AWS

Apache Airflow

Apache Hadoop

Azure Data Factory

Databricks

Data Engineering

Data Integration

Data Pipeline

Data Lake

Data Modeling

Analytical Thinking

Communication

Accepting Feedback

Active Listening

Agile Scalability

Data Architecture Development

Descripción del empleo

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Operations

Management Level

Associate

Job 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.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn t clear, you ask questions, and you use these moments as opportunities to grow.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Respond effectively to the diverse perspectives, needs, and feelings of others.


• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.


• Use critical thinking to break down complex concepts.


• Understand the broader objectives of your project or role and how your work fits into the overall strategy.


• Develop a deeper understanding of the business context and how it is changing.


• Use reflection to develop self awareness, enhance strengths and address development areas.


• Interpret data to inform insights and recommendations.


• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firms code of conduct, and independence requirements.

Certifications

(if blank, certifications not specified)

Optional Skills

• 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


• Data Pipeline {+ 27 more}

Travel Requirements

Not Specified

Available for Work Visa Sponsorship

No

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.