AWS Data Engineer

PwC; Hyderabad, Chennai, Bengaluru; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

PwC Hyderabad is seeking a data engineer to design and implement scalable data pipelines in cloud-based environments. You will work with AWS Redshift, Glue, and PySpark to deliver analytics-ready data, while collaborating with client teams to translate business needs into technical tasks.

Responsibilities include building reusable ETL components, optimizing SQL and PySpark code, validating data quality, and supporting warehouse and lakehouse data models.

Qualifications

• Bachelor's degree or higher in a relevant field.
• 3+ years of experience in data engineering or related roles.
• Strong English communication skills.

Responsibilities

• Develop data pipelines using AWS Redshift, Glue, and PySpark.
• Design and maintain data integration workflows for analytics readiness.
• Build reusable ETL components for cloud-based modernization.
• Write and optimize SQL and PySpark for performance.
• Validate data quality with checks and troubleshooting.
• Support data modeling for warehouse and lakehouse structures.
• Collaborate with teams to translate business needs into data tasks.
• Apply AWS services to implement scalable data infrastructure.
• Document pipeline logic, dependencies, and deployment steps.
• Learn new methods/tools to contribute across engagements.

Skills

SQL

PySpark

ETL

Data Warehousing

Cloud Data Pipelines

Education

Bachelor's degree

Tools

AWS Redshift

AWS Glue

PySpark

Job description

Responsibilities

• Developing data pipelines and transformation logic using AWS Redshift, Glue, and PySpark
• Designing and maintaining data integration workflows that move information from source systems into analytics-ready environments
• Building reusable ETL components to support cloud-based data modernization initiatives
• Writing and tuning SQL and PySpark code to improve query performance and processing speed
• Validating data quality through checks, reconciliation steps, and troubleshooting of pipeline issues
• Supporting data modeling activities for warehouse and lakehouse structures
• Collaborating with technical and client teams to translate business needs into data engineering tasks
• Applying AWS services and data tooling to help implement scalable data infrastructure
• Documenting pipeline logic, technical dependencies, and deployment steps for ongoing support
• Learning new methods and tools to contribute to delivery across data engineering engagements

What You Must Have

• At least a Bachelor's degree
• At least 3+ years of experience
• Oral and written proficiency in English required