Job Description Insight Global is looking for an experience AWS Data Engineer to join our banking client in Canada. You will be joining an Agile delivery pod responsible for building curated, governed datasets in support of analytics and operational reporting. You will bring strong ETL design and cloud-native engineering capabilities and a collaborative mindset to deliver incrementally in sprints alongside product and analytics teams. You must be able to confidently contribute ideas and collaborate with other functional roles in delivery including testing, analysis, architecture, and business stakeholders Key Responsibilities: · Design and develop scalable ETL/ELT pipelines using AWS Glue, Redshift, and S3 · Translate user stories into resilient data flows supporting business KPIs and models · Implement testing and data quality checks to ensure reliable delivery of curated datasets · Contribute to team Kanban and backlog grooming, estimating tasks and continuously improving velocity · Collaborate closely with business analysts, architects, and QA to ensure shared understanding and value delivery · Troubleshoot and improve performance of queries, jobs, and distributed pipelines We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . Skills and Requirements · 5+ years of recent data engineering using AWS Services (Glue, Redshift, Athena, S3) to design and develop scalable ERL/ELT pipelines · 8+ years overall within data solutions and engineering with experience working in large enterprise financial services companies, Wealth Management preferred · Proficiency in Python or PySpark, and strong SQL knowledge · Experience with schema evolution, partitioning, and incremental load strategies · Excellent experience with data storage in AWS including AWS S3, Redshift (analytics and BI), Aurora/RDS (operational data stores), and efficient data processing. · Familiarity with DevOps CI/CD practices (Git, Terraform/CDK, CodePipeline) · Agile Fluency: Working in Scrum or Kanban with story-based delivery, demo readiness, and retrospective participation · Behavioral Competencies: Collaboration, communication, adaptability, accountability, and willingness to mentor peers and learn continuously null We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.