AWS Data Engineer

KPG99 INC

Ciudad de México

A distancia

MXN 1.620.745 - 2.160.993

Jornada completa

14 días+

Recibe más respuestas de empleadores

Envía un currículum específico para el puesto de trabajo en cuestión de minutos.

Descripción de la vacante

A leading IT recruitment company is seeking a Mid-Senior level AWS Cloud Data Engineer for a long-term remote contract. The role requires extensive experience with AWS services, proficiency in Python and SQL, and a strong background in data engineering. Candidates should have skills in CI/CD, data warehousing, and scripting. This position offers a chance to work with exciting technology in a flexible work environment.

Formación

  • 6+ years of experience in application/platform engineering or related technical work.
  • 4+ years of experience with AWS Senior Cloud Data Engineering.
  • Experience with data warehousing platforms like Snowflake, Redshift, etc.
  • Strong knowledge of AWS services including S3, EC2, RDS, Lambda, and more.
  • Experience with CI/CD tools for automation.
  • High degree of knowledge in IAM Roles and Policies.
  • Strong scripting experience with PowerShell and/or Python.

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 NoSQL databases
Ability to take ownership and ensure delivery timelines

Herramientas

Informatica PowerCenter
Informatica IICS
Airflow

Descripción del empleo

Just your Friendly Neighborhood US IT Recruiter at KPG99 INC

Location: 100% Remote (Near Shore)
Duration: 6+ Months (Will be a Long Term Contract)

Must Have Skills:

  • 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.
  • Experience with Airflow.

Technical Qualifications:

  • 6+ years of experience within the field of application/platform engineering or related technical work including business intelligence, analytics.
  • 4+ years of experience with AWS Senior Cloud Data Engineering, management, maintenance, or architecting, implementing best practices and industry standards.
  • Experience with data warehousing platforms such as Snowflake, Redshift or similar.
  • Strong knowledge and established experience with AWS services including but not limited to: S3, EC2, RDS, Lambda, CloudFormation, Kinesis, Data Pipelines, EMR, Step Functions, VPC, IAM, and Security Groups.
  • Experience with DB technologies (e.g., SQL, Python).
  • Experience with CI/CD tools, pipelines, and scripting for automation (GitHub Actions, Jenkins, AWS CodePipeline, CloudFormation, Terraform).
  • High degree of knowledge in IAM Roles and Policies.
  • Strong knowledge configuring AWS cloud monitoring and alerts for cloud resource availability.
  • Strong scripting experience using PowerShell and/or Python.
  • High degree of knowledge in PaaS and SaaS application performance.
  • Understand enterprise level application architecture diagrams and IT security requirements.

Thanks and Regards
Karan Rajput | US IT Recruiter

Seniority level
  • Mid‑Senior level
Employment type
  • Contract
Job function
  • Information Technology
Industries
  • IT Services and IT Consulting
Consigue la evaluación confidencial y gratuita de tu currículum.
o arrastra y suelta tu archivo aquí
Similar jobs

Puestos de trabajo similares que vale la pena comparar

Senior Data Engineer (AWS & Python)
Senior Data Engineer (AWS & Python)

Proxify • Ciudad de México

A distancia
MXN 1.442.000 - 2.164.000
On-time monthly payments
Flexible withdrawal options
Up to 24 flex days per year
+1
AWS Cloud Data Engineer
AWS Cloud Data Engineer

REDLEO SOFTWARE INC. • Estado de México

Presencial
MXN 60.000 - 80.000
Data Architect ID52062
Data Architect ID52062

AgileEngine • Santiago de Querétaro

Híbrido
Mentorship
Competitive compensation
Flextime
Data Architect ID52062
Data Architect ID52062

AgileEngine • Monterrey

Híbrido
MXN 1.748.000 - 2.273.000
Professional growth: Mentorship, TechTalks
Competitive compensation: USD-based pay
Exciting projects: Modern solutions with Fortune 500
+1
Data Engineer ID52278
Data Engineer ID52278

AgileEngine • León

Híbrido
MXN 1.032.000 - 1.377.000
Mentorship and personalized growth roadmaps
USD-based competitive compensation with budgets
Exciting projects with top companies
+1
Data Engineer ID52278
Data Engineer ID52278

AgileEngine • Santiago de Querétaro

Híbrido
MXN 1.206.000 - 1.723.000
Mentorship
TechTalks
Education budget
+3
Data Engineer ID52278
Data Engineer ID52278

AgileEngine • Puebla de Zaragoza

Híbrido
MXN 1.204.000 - 1.549.000
Professional growth through mentorship
Competitive USD-based compensation
Exciting projects with top companies
+1
Data Engineer ID56348
Data Engineer ID56348

AgileEngine • Rosarito

Híbrido
MXN 1.398.000 - 1.749.000
Professional growth: Mentorship, TechTalks, personalized roadmaps.
Competitive compensation: USD-based pay with various budgets.
Exciting projects: Work with Fortune 500 companies.
+1
Data Engineer (Lead) ID52236
Data Engineer (Lead) ID52236

AgileEngine • Monterrey

Híbrido
Professional growth
Competitive compensation
Exciting projects
+1
Data Engineer (Lead) ID52236
Data Engineer (Lead) ID52236

AgileEngine • Santiago de Querétaro

Híbrido
Professional growth with mentorship and TechTalks
Competitive compensation with various budgets
Engaging projects with Fortune 500 clients
+1