Cyber SDC - Data Engineer - Senior - Location Open

We are seeking a Data Engineer with strong AWS cloud expertise to design, build, and maintain scalable data pipelines and data lake solutions. The ideal candidate will have hands-on experience with Python, SQL, and AWS data services, with a proven ability to develop robust data ingestion frameworks, optimize data quality, and support analytics and reporting initiatives. This role requires close collaboration with customers, data engineers, and cross-functional teams to onboard and transform data from multiple sources into a centralized AWS-based data lake., + Develop, deploy, and support AWS Lambda functions using Python to ingest and process data into an Amazon S3-based data lake.

• Maintain and troubleshoot existing data ingestion solutions, including Lambda functions, Python code, and Terraform infrastructure.

• Design, develop, and optimize end-to-end data pipelines leveraging AWS services such as Lambda, Step Functions, Glue ETL Jobs, Glue Crawlers, Athena, and S3.

• Collaborate with customers and stakeholders to onboard new data sources while ensuring compliance with data governance and security requirements.

• Implement data transformation, normalization, and cleansing processes to improve data quality and usability.

• Monitor, troubleshoot, and resolve data pipeline issues to ensure reliability and performance.

• Partner with Data Engineering and Analytics teams to improve existing workflows, enhance code quality, and optimize data processing logic.

• Support data lake architecture and contribute to best practices for scalable and maintainable data engineering solutions.

• Document technical designs, workflows, and operational procedures.

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent work experience.

• 3+ years of experience in Data Engineering or a related role.

• Strong proficiency in Python and SQL.

• Hands-on experience with AWS services, including:

• AWS Lambda

• AWS Glue

• Amazon Athena

• Amazon S3

• AWS Step Functions

• Experience developing and supporting ETL/ELT pipelines in cloud environments.

• Experience with Terraform

We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.