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Job Description
Structured overview of role & requirementsAbout This Role
Design and implement end-to-end data pipelines and ETL/ELT workflows for compensation processing using Python and AWS data pipeline services.
Develop event-driven workflows and integrate cloud data services with compensation systems, ensuring data quality, reconciliation, and monitoring.
Collaborate with architects, product teams, and engineering partners to deliver scalable, resilient, and automated compensation platform systems.
Minimum Requirements
8+ years of experience designing and implementing complex systems; 5+ years hands-on data engineering experience.
Strong Python skills for ETL/ELT and pipeline orchestration.
Hands-on experience with AWS services: Glue, Lambda, EventBridge, RDS, S3.
Bachelor's degree in Computer Science or related field.
Ideal Candidate Profile
Experience working in transformation-heavy or rules-driven domains, ideally related to compensation or financial calculations.
Proficient with event-driven architectures and cloud data services, with a strong understanding of enterprise integration and system design principles.
Comfort in fast-paced, collaborative Agile environments partnering with multiple stakeholders across product, architecture, QA, and DevOps teams.