Data Engineer Specialist (ETL/ELT) | AWS | Hybrid

About the Role

We’re seeking a Data Engineer Specialist to design and deliver reliable, scalable data pipelines for key IT data sources. You’ll build curated datasets that power reporting, dashboards, and analytics products, partnering closely with analysts and product stakeholders to turn data needs into practical solutions.

Responsibilities

• Design, build, and maintain ETL/ELT pipelines for mission-critical IT data sources
• Create high-quality curated datasets for reporting, dashboards, and analytics
• Write, optimize, and maintain SQL and Python transformations, automation, and performance improvements
• Deliver cloud-based data solutions using AWS services such as Glue, S3, and Athena
• Collaborate with analysts, product managers, and stakeholders to define and implement data requirements
• Implement data quality checks, validation rules, monitoring, and documentation to maintain trusted data
• Troubleshoot pipeline failures, investigate anomalies, and resolve data defects end-to-end
• Follow engineering best practices with Git version control, code reviews, testing, and CI/CD deployments

Requirements

• Strong experience building ETL/ELT pipelines with SQL and Python
• Hands-on experience with AWS data services (e.g., Glue, S3, Athena)
• Proficiency in writing and optimizing data transformation logic
• Experience implementing data quality, monitoring, and validation processes
• Comfort working in a collaborative environment and translating business needs into technical solutions
• Knowledge of software engineering practices such as Git, testing, and CI/CD

Benefits

• Opportunity to work on scalable data platforms supporting analytics and business reporting
• Collaborate with cross-functional teams across engineering, product, and analytics
• Contribute to data reliability through quality controls, monitoring, and documentation