.Schneider Electric has an opportunity for a Senior Data Engineer in our Monterrey, MX location.The Data Engineer will develop, maintain, and improve data delivery through North America (NAM) Data Excellence platform. The right person in this role will support improvements in data architecture, metric definition, and processes to support business data and analytical initiatives. Our Data Engineers provide guidance and support to team members in the Data Services team and our business partners.About UsSchneider Electric creates connected technologies that reshape industries, transform cities, and enrich lives. Our 135,000+ employees thrive in more than 100 countries. From the simplest of switches to complex operational systems, our technology, software, and services improve how our customers manage and automate their operations. Help us deliver solutions that ensure Life Is On everywhere, for everyone, and at every moment.Key responsibilities include:Collaborate with team members to conceptualize, design, and deliver enterprise and departmental data solutions to support business intelligence, data warehousing, reporting, and machine learning requirements.Implement reliable and scalable solutions to meet the service levels associated with mission-critical solutions.Participate in and enhance our DevOps practice to ensure highly available solutions and quick issue resolution.Translate business requirements into data pipelines and data stores to support business requirements.Perform assessments (Proof of Concepts) of the latest tools and technologies.Work with Data and Solution Architects to define and implement migration strategies from legacy systems to cloud architecture and technologies.Provide team feedback to optimize the delivery of our solutions.EducationBachelor's degree related to Computer Science or Information Technology or equivalent.QualificationsRequired qualifications:5+ years of experience with modern programming languages such as Python, Scala, or Java.3+ years of experience developing data-related solutions on cloud platforms such as Amazon Web Services (AWS).Demonstrated experience with primary AWS services such as EC2, Lambda, EMR, S3, IAM policies, CloudWatch, Cloud Formation, SES.Demonstrated experience with Cloud Services for data handling and database technologies (DMS, Kafka, Spark, Redshift, Athena, Hadoop, Airflow, etc.).Knowledge of Data Management, Integration, and Data Quality tools, such as Alteryx, Trifecta, Informatica Power Center, Informatica Cloud, and Oracle Data Integrator.Command of advanced SQL queries and programming.Experience contributing to and following best practices for architecture, design, and implementation.Have an eye for operational transparency and resiliency at every application layer.Proven analytical and problem-solving abilities. Ability to assimilate information, quickly discern the most relevant facts, and recommend creative, practical design solutions
