IN_ Senior Associate _ AWS Data Engineer _Data & Analytics_Advisory_Pune
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Description
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<p class="Position description"><b style="font-size:16px;">Job Profile</b><b>:</b> 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.</p>
<p class="Primary Responsibilities"><b style="font-size:16px;">Job Description </b><b>:</b> 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.</p>
<p class="Required Skills"><b style="font-size:16px;">Job Profile Skills</b><b>:</b> 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</p>