ERP Data Management Engineer

Johnson Controls; Monterrey; Presencial; MXN 600.000 - 900.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Comprehensive benefits package.

Opportunities for professional growth/

Supportive and inclusive work environ.

Commitment to work-life balance and 직원

Descripción de la vacante

Johnson Controls, a global leader in building technologies, seeks an ERP Data Management Engineer in Monterrey to drive data initiatives across ERP systems. You will analyze, transform, and validate data, and work with SQL, ETL processes, and data models to ensure data quality.

You will collaborate with technical and functional teams to translate business requirements into robust data solutions, document data flows, and troubleshoot data issues across source and target systems.

Formación

• 5+ years of experience in data engineering, data integration, ERP data, or similar technical data roles.
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.
• Strong SQL skills, including joins, CTEs, aggregations, subqueries, and complex data analysis.
• Strong understanding of relational databases, schemas, tables, keys, and data relationships.
• Experience with ETL/ELT processes and data pipelines.
• Ability to read, understand, and troubleshoot existing code and scripts.
• Experience analyzing and troubleshooting data across source and target systems.
• Experience with data extraction, transformation, reconciliation, and validation.
• Strong analytical and root-cause problem-solving skills.
• Ability to work across technical, functional, and business teams.

Responsabilidades

• Develop and analyze SQL queries to extract, validate, reconcile, and troubleshoot data across multiple systems.
• Analyze database structures, tables, schemas, relationships, and data models across ERP and enterprise applications.
• Understand and troubleshoot ETL/ELT processes and data pipelines, including extraction, transformation, and loading logic.
• Read and understand existing code, scripts, queries, stored procedures, and transformation logic.
• Trace data from source systems through transformations to target systems to identify data issues and root causes.
• Perform data profiling, reconciliation, and quality analysis across large datasets.
• Document data flows, mappings, transformation rules, dependencies, and technical logic.

Conocimientos

SQL

ETL/ELT

Data modeling

Root-cause analysis

Cross-functional collaboration

Educación

Bachelor's degree in Computer Science, Data Engineering, Information Systems

Herramientas

Snowflake

SAP

Oracle

Descripción del empleo

Johnson Controls is a global leader in smart, healthy, and sustainable buildings. With operations in over 150 countries, we are committed to driving innovation and excellence in building technologies and integrated solutions. Our people are at the heart of our success, and we are passionate about attracting and developing top talent across the globe.

Role Overview

• As an ERP Data Management Engineer, you will support enterprise data initiatives by analyzing, extracting, transforming, validating, and troubleshooting data across ERP and related systems.
• This role combines ERP data knowledge with technical data engineering capabilities. You will work with SQL, data pipelines, ETL processes, scripts, and data models to understand how data moves between source and target systems.
• The ideal candidate is comfortable working across both technical and functional teams and can translate business data requirements into technical data analysis and solutions.

What will you do?

• Develop and analyze SQL queries to extract, validate, reconcile, and troubleshoot data across multiple systems.
• Analyze database structures, tables, schemas, relationships, and data models across ERP and enterprise applications.
• Understand and troubleshoot ETL/ELT processes and data pipelines, including extraction, transformation, and loading logic.
• Read and understand existing code, scripts, queries, stored procedures, and transformation logic.
• Trace data from source systems through transformations to target systems to identify data issues and root causes.
• Perform data profiling, reconciliation, and quality analysis across large datasets.
• Document data flows, mappings, transformation rules, dependencies, and technical logic.

What are we looking for?

• 5+ years of experience in data engineering, data integration, ERP data, or similar technical data roles.
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.
• Strong SQL skills, including joins, CTEs, aggregations, subqueries, and complex data analysis.
• Strong understanding of relational databases, schemas, tables, keys, and data relationships.
• Experience with ETL/ELT processes and data pipelines.
• Ability to read, understand, and troubleshoot existing code and scripts.
• Experience analyzing and troubleshooting data across source and target systems.
• Experience with data extraction, transformation, reconciliation, and validation.
• Strong analytical and root-cause problem-solving skills.
• Ability to work across technical, functional, and business teams.

Nice to Have

• Experience with Python or another scripting language.
• Experience with data platforms and integration technologies such as Snowflake, OneStream or similar technologies.
• Experience working with ERP systems such as SAP, Oracle, JD Edwards, Lawson, MAPICS, or similar platforms.

Whatdowe offer?

• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Supportive and inclusive work environment.
• Commitment to work-life balance and employee well-being.
• Engagement in meaningful projects that make a difference.

Johnson Controls does not request pregnancy or HIV testing as a condition for hiring, continued employment, or promotion ,in accordance withits commitment to labor equality and non-discrimination.