Expert, Data Engineer
Schneider Electric2 months ago
Mexico (city not specified)Senior
Responsibilities
- Design and engineer data lakes through source identification, extraction, modeling, storage design, and governance.
- Develop ingestion and transformation flows for structured and unstructured data using warehousing and big data tools.
- Implement data storage, partitioning, semantic layer, metadata, cataloging, privacy, authorization, and security capabilities.
- Improve observability, cost management, monitoring, logging, and operational reporting for data engineering.
- Build integration testing and quality assurance capabilities while maintaining architectural compliance.
- Evaluate emerging tools and technologies through proofs of concept and help evolve the technology landscape.
- Lead, mentor, and support Data Delivery teams with methodologies, tools, and technical expertise.
Requirements
- At least 6 years of experience in technical roles focused on data engineering.
- At least 3 years of hands-on experience with AWS services, including S3, KMS, Lambda, Glue or Spark, SQS, EventBridge, and Step Functions.
- At least 3 years of experience writing clean, modular, testable, and maintainable code using functional or object-oriented principles.
- Understanding of AWS networking concepts, including VPCs, subnets, routing, NAT gateways, and security groups.
- Proficiency with IAM roles, policies, assume-role patterns, and cross-account access.
- Strong experience with at least one programming language such as Python, Scala, or Java.
- Understanding of Spark architecture, execution plans, and performance tuning.
- Strong SQL skills and experience with Redshift, Athena, or other distributed compute engines.
- Experience writing and maintaining Terraform scripts.
- Familiarity with Git, GitHub workflows, and CI/CD tools such as Jenkins.
- Hands-on experience with data governance, cataloging, and discovery tools such as AWS Glue and Lake Formation.
- Exposure to data lake architectures and data governance practices.
- Familiarity with monitoring and logging implementation.
- Advanced knowledge of cloud and on-premises NoSQL database structures, including DynamoDB and MongoDB.
- Knowledge of data management, integration, and data quality tools across no-code, low-code, and code-first methodologies.
Benefits
- Total Rewards programs support employee and family care, future planning, skills and career growth, workplace inclusion, and community contribution.
- Country-specific programs and initiatives may be available.
Categories
Data Engineering
About Schneider Electric
Schneider Electric builds electrical distribution equipment, industrial automation systems, and energy-management software and services for buildings, data centers, factories, and utilities. Founded in 1836 and headquartered in Rueil-Malmaison, France, it is a public company listed on Euronext Paris. The company sells globally through direct and partner channels in 100+ countries, with offerings such as switchgear, circuit protection, building management, microgrids, and the EcoStruxure software suite.