Senior DataOps Analyst - AWS & Data Warehousing

Chervon North America Inc; Naperville (IL); Hybrid; USD 65,000 - 85,000; Full time

Benefits offered by this job

Hybrid work environment

Health, dental, vision coverage

401(k) match

Job summary

Chervon North America Inc. seeks a Senior Data Analysis to design and implement DataOps practices, focusing on data modeling, ETL, and data warehousing within an AWS-driven ecosystem. You will lead data integration, automation, and monitoring to improve reliability and availability of data across domains.

You will collaborate with IT teams in China on escalations, conduct system checks, and develop comprehensive documentation and best practices. Travel to U.S.

Qualifications

• Proven experience in data management and database administration, especially Oracle ERP and MySQL.
• Strong troubleshooting, configuration, and management of data infrastructure with ETL, modeling, and warehousing.
• Familiarity with workflow orchestration tools (Airflow, AWS Step Functions) and version control (Git).
• Designing and building DataOps capabilities to automate data processing and operations.
• Experience with AWS services (Glue, Lambda, Redshift, S3) and analytical tools.

Responsibilities

• Resolve complex data infra issues and optimize data pipelines and processes.
• Collaborate with IT teams (including teams in China) to address escalations and minimize downtime.
• Perform routine system checks and optimize data infrastructure performance.
• Develop documentation, knowledge base articles, and best practices for data ops.
• Lead design and implementation of DataOps, data integration, automation, and monitoring.

Skills

Data management

Oracle ERP

MySQL

ETL processes

Data modeling

Data warehousing

DataOps

AWS

Airflow

Git

Python

Bash

Power BI

SQL

Tools

Apache Airflow

Git

AWS Glue

AWS Lambda

Amazon Redshift

Amazon S3

Power BI

Job description

Chervon North America Inc. seeks a Senior Data Analysis to design and implement DataOps practices, focusing on data modeling, ETL, and data warehousing within an AWS-driven ecosystem. You will lead data integration, automation, and monitoring to improve reliability and availability of data across domains.

You will collaborate with IT teams in China on escalations, conduct system checks, and develop comprehensive documentation and best practices. Travel to U.S.