qode.world

AWS Data Engineer

qode.world

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

SeniorLead

Tech Stack

Amazon RedshiftAWSCloudETLPythonTableau

About the role

  • Lead and support the delivery of data platform modernization projects.
  • Design and develop robust and scalable data pipelines leveraging AWS native services.
  • Optimize ETL processes, ensuring efficient data transformation.
  • Migrate workflows from on-premise to AWS cloud, ensuring data quality and consistency.
  • Design automations and integrations to resolve data inconsistencies and quality issues
  • Perform system testing and validation to ensure successful integration and functionality.
  • Implement security and compliance controls in the cloud environment.
  • Ensure data quality pre- and post-migration through validation checks and addressing issues regarding completeness, consistency, and accuracy of data sets.
  • Collaborate with data architects and lead developers to identify and document manual data movement workflows and design automation strategies.

Requirements

  • 10+ years’ experience with a core data engineering skillset leveraging AWS native technologies (AWS Glue, Python, Snowflake, S3, Redshift).
  • Experience in the design and development of robust and scalable data pipelines leveraging AWS native services.
  • Proficiency in leveraging Snowflake for data transformations, optimization of ETL pipelines, and scalable data processing.
  • Experience with streaming and batch data pipeline/engineering architectures.
  • Familiarity with DataOps concepts and tooling for source control and setting up CI/CD pipelines on AWS.
  • Hands-on experience with Databricks and a willingness to grow capabilities.
  • Experience with data engineering and storage solutions (AWS Glue, EMR, Lambda, Redshift, S3).
  • Strong problem-solving and analytical skills.
  • Knowledge of Dataiku is needed
  • Graduate/Post-Graduate degree in Computer Science or a related field.
  • AWS S3 (data storage, export, recall)
  • Athena (querying data lakes)
  • Data pipelines (batch & near-real-time)
  • Integration with external systems (FHIR)
  • Secure data handling (KMS, Macie)
  • Cloud-native analytics
  • Multi-account, multi-region data architecture
  • BI integrations: Power BI, Tableau, QuickSight
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AWS GluePythonSnowflakeS3RedshiftETLDataOpsDatabricksAWS EMRAWS Lambda
Soft Skills
problem-solvinganalytical skills