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

Price Waterhouse Cooper LLP; Pune District; Presencial; INR 1.200.000 - 2.400.000; Jornada completa

Descripción de la vacante

PwC is seeking a data engineering professional to design and build robust data infrastructure and pipelines that enable efficient processing, integration, and transformation of data for client solutions. You will work with a variety of tools and platforms (AWS, Apache Airflow, Databricks) to deliver scalable data solutions and insights.

You will collaborate across teams to interpret business needs, engineer data that informs decisions, and continuously improve data platforms in a fast-paced

Formación

• Experience in designing and building data infrastructure and systems.
• Ability to develop and implement data pipelines, data integration, and data transformation solutions.
• Ability to navigate complex situations, grow technical expertise and manage teams.

Responsabilidades

• Design and build data infrastructure for efficient processing and analysis.
• Develop and implement data pipelines, data integration, and transformation solutions.
• Collaborate with teams to deliver high-quality data solutions.

Conocimientos

Data engineering

Data pipelines

Data integration

Data architecture

AWS

Apache Airflow

Azure Data Factory

Databricks

Hadoop

Data Lake

Herramientas

AWS

Apache Airflow

Apache Hadoop

Azure Data Factory

Databricks

Descripción del empleo

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 Firm's code of conduct, and independence requirements.

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}