Senior Associate AWS Data Engineer GCC Advisory

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.

Responsibilities:

• Design, develop, and maintain ETL/ELT pipelines using AWS services (Glue, Lambda, Step Functions, Data Pipeline, EMR).
• Build and optimize data lakes and data warehouses using Amazon S3, Redshift, Athena, and Snowflake (if applicable).
• Implement and manage data ingestion frameworks from structured and unstructured data sources (APIs, RDBMS, streaming, etc.).
• Ensure data quality, integrity, and security using tools like AWS Lake Formation, IAM, and KMS.
• Strong proficiency in SQL, Python, and PySpark.
• Expertise in AWS data ecosystem, including Glue, Redshift, S3, Lambda, EMR, and Athena.

Mandatory skill sets:

• Strong proficiency in SQL, Python, and PySpark.
• Expertise in AWS data ecosystem, including Glue, Redshift, S3, Lambda, EMR, and Athena.

Preferred skill sets:

• AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect.

Years of experience required: 4-7

Education qualification: B.Tech / M.Tech / MBA / MCA

Required Skills:

• Azure Service Fabric
• Data Engineering

Optional Skills:

• Accepting Feedback
• Active Listening
• Agile Scalability
• AI Fluency
• AI-Human Collaboration
• 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 {+ 30 more}