drjobs AWS Data Engineer

AWS Data Engineer

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Job Location drjobs

San Francisco, CA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Role: AWS Data Engineer (Python Dataiku)

Location: SFO CA Hybrid

Job Brief

As an AWS Data Engineer your role will be to design develop and maintain scalable data pipelines on AWS. You will work closely with technical analysts client stakeholders data scientists and other team members to ensure data quality and integrity while optimizing data storage solutions for performance and cost-efficiency. This role requires leveraging AWS native technologies and Databricks for data transformations and scalable data processing.

Responsibilities

  • 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.

Skills and Requirements

  • 7 years of 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.

Employment Type

Full Time

Company Industry

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