AWS Data Engineer

We are seeking an experienced AWS Data Engineer to develop scalable, AWS-native platforms and data layers. This is an exciting opportunity for a skilled professional to work on innovative projects in a collaborative environment. Responsibilities • Design and implement AWS Lakehouse architectures, ensuring robust data management and accessibility. • Develop and maintain production-grade data pipelines using advanced Python programming. • Implement Medallion Architecture, focusing on Bronze, Silver, and Gold data layers. • Utilize Open Table Formats like Apache Iceberg for effective data handling and schema evolution. • Collaborate with cross-functional teams to ensure alignment on project goals and deliverables. • Document processes and communicate effectively with stakeholders to facilitate project success. Skills • Proficient in Python with a focus on data engineering tasks and modular code development. • Strong understanding of AWS services such as S3, Glue, Athena, and Lake Formation. • Experience with data architecture principles and best practices, particularly in cloud environments. • Solid grasp of Slowly Changing Dimensions (SCD Type 2) in distributed data systems. Preferred Skills • Familiarity with EKS-based orchestration using EMR on EKS or Argo Workflows. • Experience with data visualization tools like AWS Quicksights, Tableau, or Cognos. • Ability to work independently while also being a team player in a dynamic work environment. We are committed to fostering a diverse, equitable, and inclusive workplace where all individuals are valued and have equal opportunities to thrive. Once you apply for this position, you may receive a phone call, SMS or email at the time of application from our Virtual AI Recruiter, Alex, to conduct an initial interview.