Senior Data Engineer
hace 5 días
About Schneider Electric Global
Schneider Electric Global is a leading provider of digital transformation solutions for the energy and industrial sectors. Our company is committed to creating connected technologies that reshape industries, transform cities, and enrich lives.
Job Summary
We are seeking a highly skilled Senior Data Engineer to join our team in Monterrey, Mexico. As a Senior Data Engineer, you will play a key role in developing, maintaining, and improving data delivery through our North America (NAM) Data Excellence platform.
Key Responsibilities
- Design and Develop Data Solutions
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 SolutionsImplement reliable and scalable solutions to meet the service levels associated with mission-critical solutions.
Enhance DevOps PracticeParticipate in and enhance our DevOps practice to ensure highly available solutions and quick issue resolution.
Translate Business RequirementsTranslate business requirements into data pipelines and data stores to support business requirements.
Assess New Tools and TechnologiesPerform assessments (Proof of Concepts) of the latest tools and technologies.
Migrate Legacy SystemsWork with Data and Solution Architects to define and implement migration strategies from legacy systems to cloud architecture and technologies.
Provide Team FeedbackProvide team feedback to optimize the delivery of our solutions.
Requirements
- 5+ Years of Experience
5+ years of experience with modern programming languages such as Python, Scala, or Java.
Cloud Experience3+ years of experience developing data-related solutions on cloud platforms such as Amazon Web Services (AWS).
AWS ServicesDemonstrated experience with primary AWS services such as EC2, Lambda, EMR, S3, IAM policies, CloudWatch, Cloud Formation, SES.
Cloud ServicesDemonstrated experience with Cloud Services for data handling and database technologies (DMS, Kafka, Spark, Redshift, Athena, Hadoop, Airflow, etc.).
Data Management ToolsKnowledge of Data Management, Integration, and Data Quality tools, such as Alteryx, Trifecta, Informatica Power Center, Informatica Cloud, and Oracle Data Integrator.
Advanced SQL QueriesCommand of advanced SQL queries and programming.
Best PracticesExperience contributing to and following best practices for architecture, design, and implementation.
Operational TransparencyHave an eye for operational transparency and resiliency at every application layer.
Problem-Solving AbilitiesProven analytical and problem-solving abilities. Ability to assimilate information, quickly discern the most relevant facts, and recommend creative, practical design solutions. Ability to think outside the box is a real asset.
DevOps ToolsExperience with DevOps tools and processes and CI/CD are an asset.
Communication SkillsExcellent communication, presentation, influencing, and reasoning capabilities.
Data ModelingSolid understanding of data modeling, ETL processes, and data warehousing concepts.
Education
Bachelor's degree related to Computer Science or Information Technology or equivalent.
Benefits
- Competitive Salary
Competitive salary
Comprehensive Health BenefitsComprehensive health benefits
Retirement Savings PlanRetirement savings plan
Professional Development OpportunitiesProfessional development opportunities
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