AWS Cloud Data Engineer

REDLEO SOFTWARE INC.

Estado de México

Presencial

MXN 60.000 - 80.000

Jornada completa

14 días+

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Descripción de la vacante

A leading software development firm in Mexico is seeking a data engineer experienced in database management, AWS services, and Python scripting. Ideal candidates will have hands-on experience with data pipeline development and feature engineering. The role emphasizes ownership and meeting delivery timelines in a collaborative environment while utilizing modern ETL tools and NoSQL databases.

Formación

  • Proficiency with databases such as Snowflake, DB2, or Redshift.
  • Hands-on experience with AWS architecture and services like Lambda, Glue, and S3.
  • Proficient in Python, SQL, and shell scripting.

Conocimientos

Proficiency with databases (e.g., Snowflake, DB2, Redshift)
Hands-on experience with AWS architecture and services
Proficient in Python, SQL, and scripting
Experience building feature engineering pipelines
Experience with CI/CD tools
Knowledge of user authentication and authorization
Experience with Tecton or Sagemaker
Experience with NoSQL databases

Descripción del empleo

  • Proficiency with databases (e.g., Snowflake, DB2, Redshift) and dimensional modeling.
  • Hands-on experience with AWS architecture and services (Lambda, Glue, Kinesis, Firehose, Athena, S3, Cloudwatch, Dynamodb, API Gateway).
  • Proficient in Python, SQL, and scripting (e.g., Unix shell scripts).
  • Experience building feature engineering pipelines.
  • Experience with CI/CD tools such as GitHub, GitHub Actions, CodePipeline, and CloudFormation.
  • Knowledge of user authentication and authorization across systems, servers, and environments.
  • Experience with Tecton or Sagemaker or similar feature stores.
  • Experience with NoSQL databases.
  • Ability to take ownership and proactively ensure delivery timelines are met.
Good-to-Have Skills:
  • Experience in data pipeline development using modern ETL tools, specifically Informatica PowerCenter and/or Informatica IICS.
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