IT Enterprise Systems Engineer

Wismettac Asian Foods, Inc•Santa Fe Springs, CA

6d•Hybrid

About The Position

We are seeking a highly skilled and forward-thinking IT Enterprise Systems Engineer to play a pivotal role in designing, implementing, and supporting the next generation of corporate systems across workflow automation, data integration, analytics, ERP, and logistics. This hybrid role supports the modernization of enterprise systems by leading development, integration, and analytics initiatives. The ideal candidate will have strong experience in Tableau, Snowflake, Azure Data Factory, and Informatica, with a solid foundation in database administration and systems analysis. You will play a key role in supporting the company's digital infrastructure by crafting optimized database queries, generating insightful reports, and building robust integrations. You will also be responsible for the overall reporting architecture strategy and for enhancing our data and analytics platform to meet the evolving and complex needs of our business and products.

Requirements

Bachelor's Degree in information systems/computer science (or equivalent) required.
3 to 5 years of experience with business intelligence, Reporting, and analytics, and technologies such as Tableau required.
Experience in managing reporting and analytics tech resources to deliver an enterprise business intelligence & reporting solution.
Proficiency with business analysis tools (e.g., Jira, Confluence), and data analysis tools (e.g., SQL, Microsoft Excel, Power BI, Tableau).
Strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge.
Ability to analyze complex supply chain challenges and recommend data-backed solutions.
Demonstrated ability to multi-task, work under pressure, think analytically, and communicate effectively.
Planning/Organizing - Strong organizational and time-management skills to handle shifting priorities in fast-paced environments.
Detail-oriented and accurate - Minimizes mistakes, follows every step in a process and follows through with all tasks.
Strong ability to manage large datasets and ensure data accuracy.
Strong attention to detail and ability to manage large sets of data
Excellent written and verbal communication skills to translate technical data into actionable insights for non-technical stakeholders at all levels.

Nice To Haves

Experience with reporting tools such as Power BI or Tableau is preferred.

Responsibilities

Lead the technical implementation and integration of new enterprise platforms across the modernization roadmap.
Collaborate with business units and IT leadership to translate functional requirements into scalable system designs.
Ensure seamless migration from legacy systems to modern platforms, minimizing disruption and maximizing performance.
Develop and maintain documentation, architecture diagrams, and operational procedures.
Champion automation, data integrity, and system interoperability across the enterprise.
Business Intelligence & Data Analysis: Work with stakeholders to understand business requirements and translate them into data-driven insights.
Develop, maintain, and publish reports and dashboards to help leadership make informed decisions.
Database Development & Administration (DBA): Design, create, and maintain databases (both cloud and on-premises) and database objects like tables, views, and stored procedures. This includes managing user access, ensuring data security, and performing regular backups and recovery.
Data Integration & ETL: Develop and maintain data integrations between systems using APIs and ETL tools to pull, clean, and load data into data warehouses or other databases for analysis.
Performance & Optimization: Monitor database and dashboard performance, identifying and resolving issues to ensure data is accessible and reports load quickly. Write, optimize, and troubleshoot complex SQL queries and implement tuning strategies as needed.
Collaboration & Communication: Collaborate with cross-functional teams, including application developers and business stakeholders, to understand data needs and deliver effective solutions.
Documentation & Governance: Maintain comprehensive documentation of data models, database schemas, and reporting procedures. Ensure compliance with data governance, privacy regulations, and internal security policies.
Troubleshooting: Diagnose and resolve technical issues related to databases, data pipelines, and BI tools.