Overview
On Site
Depends on Experience
Full Time
Skills
Site Reliability Engineer
Data
ETL
Informatica
Talend
DataStage
AutoSys
Apache Airflow
SQL
data modelingconcepts.
Python scripting
Linux/Unix environments
shell scripting.
ITIL processes
data services.
Job Details
Position: Site Reliability Engineer Data/ETL Specialist
Location: Plano, TX (Onsite)
Hiring: W2 Contract / Fulltime
Site Reliability Engineer (SRE) Data/ETL Specialist
Role Overview:
As an SRE focused on Data and ETL, you will ensure the reliability, scalability, and performance of data pipelines and ETL workflows in production environments. You will work closely with data engineering, operations, and application teams to automate processes, monitor systems, and resolve production issues related to data movement and transformation.
Key Responsibilities:
- ETL Workflow Management
- Support and maintain ETL jobs using tools like Informatica, Talend, or similar.
- Monitor and troubleshoot batch jobs scheduled via AutoSys or Apache Airflow.
- Ensure timely execution of data pipelines and resolve failures promptly.
- SRE Responsibilities
- Implement monitoring, alerting, and automation for ETL workflows and data systems.
- Develop scripts and tools for operational efficiency (Python, Shell).
- Participate in incident management, root cause analysis, and postmortems.
- Collaborate with DevOps teams to integrate CI/CD pipelines for ETL deployments.
- Ensure data integrity, security compliance, and audit readiness.
- Performance & Reliability
- Optimize ETL processes for scalability and performance.
- Conduct capacity planning and resource utilization analysis.
Required Skills
- Strong experience with ETL tools (Informatica, Talend, DataStage, etc.).
- Hands-on experience with AutoSys and Apache Airflow for job scheduling.
- Proficiency in SQL and data modeling concepts.
- Familiarity with Python scripting for automation and workflow orchestration.
- Knowledge of Linux/Unix environments and shell scripting.
- Understanding of ITIL processes for incident/change management.
- Good knowledge of cloud platforms (AWS, Azure, Google Cloud Platform) and data services.
Qualifications
- Bachelor s degree in Computer Science, IT, or related field.
- 4 8+ years of experience in ETL development and production support.
- Certifications in ETL tools or cloud data services (preferred).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.