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Senior Data Engineer

hace 2 meses

Monterrey, Nuevo León, México oilandgas A tiempo completo
About the Role

We are seeking a highly skilled Senior Data Engineer to join our team at Schneider Electric. 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
  1. Design and Deliver 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.
  2. Implement Reliable Solutions: Implement reliable and scalable solutions to meet the service levels associated with mission-critical solutions.
  3. Enhance DevOps Practice: Participate in and enhance our DevOps practice to ensure highly available solutions and quick issue resolution.
  4. Translate Business Requirements: Translate business requirements into data pipelines and data stores to support business requirements.
  5. Assess New Tools and Technologies: Perform assessments (Proof of Concepts) of the latest tools and technologies.
  6. Migrate Legacy Systems: Work with Data and Solution Architects to define and implement migration strategies from legacy systems to cloud architecture and technologies.
  7. Provide Team Feedback: Provide team feedback to optimize the delivery of our solutions.
Requirements
  1. 5+ Years of Experience: 5+ years of experience with modern programming languages such as Python, Scala, or Java.
  2. Cloud Experience: 3+ years of experience developing data-related solutions on cloud platforms such as Amazon Web Services (AWS).
  3. AWS Services: Demonstrated experience with primary AWS services such as EC2, Lambda, EMR, S3, IAM policies, CloudWatch, Cloud Formation, SES.
  4. Cloud Services: Demonstrated experience with Cloud Services for data handling and database technologies (DMS, Kafka, Spark, Redshift, Athena, Hadoop, Airflow, etc.).
  5. Data Management Tools: Knowledge of Data Management, Integration, and Data Quality tools, such as Alteryx, Trifecta, Informatica Power Center, Informatica Cloud, and Oracle Data Integrator.
  6. Advanced SQL Queries: Command of advanced SQL queries and programming.
  7. Best Practices: Experience contributing to and following best practices for architecture, design, and implementation.
  8. Operational Transparency: Have an eye for operational transparency and resiliency at every application layer.
  9. Problem-Solving Abilities: Proven analytical and problem-solving abilities. Ability to assimilate information, quickly discern the most relevant facts, and recommend creative, practical design solutions.
  10. DevOps Tools: Experience with DevOps tools and processes and CI/CD are an asset.
  11. Communication Skills: Excellent communication, presentation, influencing, and reasoning capabilities.
  12. Data Modeling: Solid understanding of data modeling, ETL processes, and data warehousing concepts.
What We Offer
  1. Competitive Salary
  2. Comprehensive Health Benefits
  3. Retirement Savings Plan
  4. Professional Development Opportunities