AWS Support Engineer (Data) Senior - Híbrido

Koch México; Guadalajara; Presencial; MXN 600,000 - 800,000; Jornada completa

Descripción de la vacante

A leading technology organization in Guadalajara is seeking an experienced AWS Support Engineer to provide support for AWS-based data pipelines. Responsibilities include monitoring and troubleshooting ETL workflows, resolving incidents, and enhancing automation. Candidates should have 3–5 years of experience in AWS Data Services and strong proficiency in SQL, Python, and ETL solutions. This role offers the opportunity to work in a collaborative environment focused on cloud-based engineering.

Formación

• 3–5 years of hands-on experience in AWS Data Services support.
• Experience supporting ETL solutions using AWS Glue, Lambda, Redshift.
• Strong proficiency in SQL, Python, and PySpark.

Responsabilidades

• Provide daily support for AWS-based data pipelines.
• Act as L1/L2/L3 support for ETL failures and performance bottlenecks.
• Troubleshoot and resolve production issues.

Conocimientos

AWS Data Services support

ETL solutions

SQL

Python

PySpark

Herramientas

Jira

ServiceNow

Descripción del empleo

Your Job

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

Our Team

The team supporting an AWS Support Engineerin Data Engineering is a cloud-focused operations and analytics groupresponsible for maintaining the reliability, performance, and efficiency ofAWS-based data pipelines and platforms. They work collaboratively to monitorETL workflows, resolve incidents across multiple support levels (L1–L3), andimplement automation using services like AWS Glue, Lambda, Step Functions, andRedshift.

What You Will Do

• Monitor & Support: Provide dailysupport for AWS-based data pipelines (Glue, Lambda, Step Functions, Redshift),ensuring uptime and data accuracy.
• Incident Resolution: Act as L1/L2/L3support for issues related to ETL failures, data discrepancies, or performancebottlenecks.
• Root Cause Analysis: Troubleshoot andresolve production issues, document RCA, and proactively work on solutions toprevent recurrence.
• Job Scheduling & Automation: Supportand enhance automation using CloudWatch Events, Lambda, and Step Functions toreduce manual interventions.
• Enhancement Requests: Coordinate withdevelopment teams for enhancements and minor fixes in ETL scripts andworkflows.
• System Efficiency: Support initiatives thatimprove 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 ina 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.