Senior DataOps Analyst - Hybrid + AWS Data Warehousing

Chervon; Naperville (IL); On-site; USD 65,000 - 85,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) match

Paid time off

Parental leave

Hybrid work environment

Job summary

Chervon is seeking an Experienced Senior Data Analysis professional to design and implement DataOps practices across data infrastructure. You will lead data modeling, ETL, and warehousing efforts using AWS cloud services and collaborate with global teams to ensure data reliability and availability.

The role emphasizes resolving complex data issues, implementing DataOps methodologies, and driving data-driven decision making.

Qualifications

• Experience with Oracle ERP and MySQL databases.
• Strong skills in data modeling, ETL, and data warehousing.
• Familiarity with workflow orchestration tools (Airflow, AWS Step Functions) and Git.
• Expertise in designing DataOps capabilities to automate data processes.
• Experience with AWS cloud services (Glue, Lambda, Redshift, S3).
• Excellent analytical and problem‑solving abilities; strong cross‑functional collaboration.

Responsibilities

• Resolve complex data infrastructure and processing issues.
• Collaborate with the IT team in China to address escalated issues.
• Perform routine system checks to optimize data infrastructure performance.
• Apply data modeling, ETL, and warehousing techniques to enhance analytics.
• Lead DataOps initiatives for data integration, automation, and monitoring.
• Develop, maintain, and update troubleshooting guides and KB articles.

Skills

Data management

Database administration

IT support

Oracle ERP

MySQL

Data modeling

ETL

Data warehousing

AWS

Power BI

SQL

Python

Java

Tools

Oracle

MySQL

Airflow

Git

AWS

AWS Glue

AWS Lambda

Redshift

S3

Job description

Chervon is seeking an Experienced Senior Data Analysis professional to design and implement DataOps practices across data infrastructure. You will lead data modeling, ETL, and warehousing efforts using AWS cloud services and collaborate with global teams to ensure data reliability and availability.

The role emphasizes resolving complex data issues, implementing DataOps methodologies, and driving data-driven decision making.