AWS Support Engineer (Data) Senior - Híbrido en Koch México

Your Job

We are looking for a skilled and motivated AWS Support Engineer with 3–5 years of experience in supporting and maintaining cloud-based data engineering solutions. This is a support-focused role where you will help monitor, troubleshoot, and enhance AWS-based ETL pipelines and analytics platforms.

Our Team

The team supporting an AWS Support Engineer in Data Engineering is a cloud-focused operations and analytics group responsible for maintaining the reliability, performance, and efficiency of AWS-based data pipelines and platforms. They work collaboratively to monitor ETL workflows, resolve incidents across multiple support levels (L1–L3), and implement automation using services like AWS Glue, Lambda, Step Functions, and Redshift.

What You Will Do

Monitor & Support: Provide daily support for AWS-based data pipelines (Glue, Lambda, Step Functions, Redshift), ensuring uptime and data accuracy.

Incident Resolution: Act as L1/L2/L3 support for issues related to ETL failures, data discrepancies, or performance bottlenecks.

Root Cause Analysis: Troubleshoot and resolve production issues, document RCA, and proactively work on solutions to prevent recurrence.
Job Scheduling & Automation: Support and enhance automation using CloudWatch Events, Lambda, and Step Functions to reduce manual interventions.

Enhancement Requests: Coordinate with development teams for enhancements and minor fixes in ETL scripts and workflows.

System Efficiency: Support initiatives that improve system efficiency, reduce costs, and enhance data quality.
 

Who You Are (Basic Qualifications)

3–5 years of hands-on experience in AWS Data Services support.

Experience supporting ETL solutions using: AWS Glue, Lambda, Redshift, Step Functions, EventBridge, CloudWatch.

Strong proficiency in: SQL, Python, PySpark, S3.

Experience with data quality monitoring, job failure resolution, and incident management systems (e.g., ServiceNow or Jira).

Ability to debug and resolve ETL and data pipeline failures in a production environment.

What Will Put You Ahead

Exposure to MSBI Stack: SSIS, SSRS, SSAS.

AWS or Cloud Data Engineering certification.

Experience with data modeling and performance tuning.

At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.