IN_Senior Associate_ Azure Data Engineer_ Data and Analytics_Advisory_Bangalore

Job Profile: 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.

Job Description : 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.

Job Profile 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

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 Quality

Data Strategy

Data Transformation

Data Validation

Data Warehouse

Data Warehouse Indexing

Data Warehouse Troubleshooting

Dimensional Modeling

Directed Acrylic Graphs (DAGs)

Embracing Change

Emotional Regulation

Empathy

Inclusion

Intellectual Curiosity

Java (Programming Language)

Learning Agility

Microsoft Azure Databricks

MySQL (Software)

Optimism

Performance Tuning

PostgreSQL (Software)

Query Optimization

Self-Awareness

Snowflake (Platform)

Snowflake Data Warehouse

Snowflake Schema

Teamwork

Well Being