Data and Analytics Engineering - Data Engineering - Associate - CS - G

Carrerlift; Pune District; Presencial; INR 1.200.000 - 2.200.000; Jornada completa

Descripción de la vacante

PwC is seeking a data and analytics engineer to design and build data infrastructure, pipelines, and transformations. You will transform raw data into insights, enabling informed decisions and supporting client projects.

The role emphasizes adapting to ambiguity, learning how data fits business strategy, and upholding PwC standards. The position involves collaborating with teams, leveraging tools like AWS, Apache Airflow, and Databricks, and contributing to scalable data platforms across client

Formación

• Education not specified in the ad.

Responsabilidades

• Respond effectively to diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project and how it fits into 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 professional standards and PwC guidance.

Conocimientos

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

Data Engineering

Data Engineering Platforms

Data Infrastructure

Data Integration

Data Lake

Data Modeling

Data Pipeline

Herramientas

SaaS

Descripción del empleo

Job Description & SummaryAt 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.

• 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 Firm's code of conduct, and independence requirements.

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

Certifications (if blank, certifications not specified)

Required Skills

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

Desired Languages

Desired Languages (If blank, desired languages not specified)