AWS Data Engineer: Cloud Modernization & Scalable Pipelines

Qode Page

United States

On-site

USD 140,000 - 180,000

Full time

3 days ago

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Job summary

Qode Page is seeking an AWS Data Engineer to design, develop, and maintain scalable data pipelines on AWS, collaborating with analysts, stakeholders, data scientists and developers to ensure data quality and cost-effective storage.

You will leverage AWS native services, Snowflake, and Databricks to transform data, implement CI/CD, and ensure secure, compliant cloud processing for diverse data sets including healthcare standards (FHIR).

Qualifications

10+ years of data engineering experience using AWS native technologies.
Proficiency with Snowflake for ETL and data processing.
Experience with streaming and batch data pipelines.
Familiarity with DataOps and CI/CD on AWS.
Hands-on Databricks experience.
Knowledge of Dataiku required.
Graduate/Post-Graduate degree in Computer Science or related field.
Experience with AWS Glue, EMR, Lambda, Redshift, S3.

Responsibilities

Lead and support the delivery of data platform modernization projects.
Design and develop scalable data pipelines on AWS.
Migrate workflows from on-prem to AWS, ensuring data quality and consistency.
Design automations to resolve data inconsistencies and quality issues.
Perform system testing and validation for successful integration.
Implement security and compliance controls in the cloud environment.
Ensure data quality pre- and post-migration through validation checks.
Collaborate with data architects and lead developers to document manual data movement workflows.