AWS Data Engineer (Must Banking/Finance) :: W2 :: Hybrid

AWS Data Engineer – Banking / Finance

Location: Naperville, IL
Work Type: Local Candidates Only
Employment Type: W2

Job Summary

We are seeking an experienced AWS Data Engineer with strong hands-on cloud data engineering expertise and proven experience working in the Banking or Financial Services domain.

The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and cloud-based data solutions while working closely with business and technology teams.

Banking or Finance domain experience is mandatory.

Key Responsibilities

• Design, develop, and maintain scalable AWS data pipelines and data processing solutions.
• Build and optimize ETL/ELT workflows for structured and unstructured data.
• Develop data ingestion, transformation, validation, and integration processes.
• Work with cloud-based data platforms and AWS services to support enterprise data initiatives.
• Perform data analysis, data quality checks, reconciliation, and troubleshooting.
• Collaborate with Business Analysts, Data Architects, Application teams, and business stakeholders to understand data requirements.
• Implement data solutions that meet security, performance, scalability, and governance requirements.
• Monitor data pipelines and resolve production issues.
• Support data migration and modernization initiatives.
• Develop technical documentation and participate in code reviews and Agile development activities.

Required Skills

• Strong hands-on AWS Data Engineering experience.
• Experience designing and developing cloud-based data pipelines.
• Strong understanding of ETL/ELT, data integration, data transformation, and data quality.
• Experience with AWS data services and cloud data architecture.
• Strong SQL and data analysis skills.
• Experience troubleshooting data pipelines and production data issues.
• Mandatory: Banking or Financial Services domain experience.
• Strong communication and stakeholder collaboration skills.

Preferred Skills

• Experience with AWS services such as S3, Glue, Lambda, Redshift, EMR, Athena, Kinesis, or similar.
• Experience with Python and SQL.
• Experience with data warehousing and dimensional data modeling.
• Knowledge of financial data, banking systems, regulatory data, or financial reporting.
• Experience with Agile/Scrum methodologies.