AWS Data Engineer

KPG99 INC; Ciudad de México; Remote; MXN 1,620,745 - 2,160,993; Full time

Job summary

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.

Qualifications

• 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.

Skills

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

Tools

Informatica PowerCenter

Informatica IICS

Airflow

Job description

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