Concentrix
Senior Data Engineer- Bilingual
Remote Senior Data Engineer role with clear candidate location fit.
PostedJul 2, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
Mexico
Role overview
Senior Data Engineer- Bilingual
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Key Responsibilities
- Design and maintain logical and physical data models for both OLTP and OLAP/EDW systems
- Translate business requirements into scalable data structures and integration solutions
- Develop and maintain source-to-target mappings and transformation logic
- Own data solutions end-to-end from requirements gathering through production delivery
- Work directly with business and technical stakeholders to define data requirements and business rules
- Support data warehouse and data platform development and modernization initiatives
- Perform data profiling, validation, reconciliation, and root cause analysis
- Build and optimize complex SQL queries and stored procedures for performance and accuracy
- Support data integration pipelines and data transformation processes
- Ensure adherence to data quality, governance, and documentation standards
- Collaborate across engineering, analytics, and business teams in both Agile and structured environments
Required Skills & Experience
- Strong hands-on experience in data modeling (Kimball, dimensional modeling, and 3NF)
- ERwin Data Modeler ,ER/Studio (preferred or equivalent data modeling tools)
- Experience creating and maintaining logical data models, physical data models, data dictionaries and metadata definitions
- Experience designing solutions for both OLTP and OLAP environments
- Strong experience in source-to-target mapping and data transformation logic
- Advanced SQL expertise (T-SQL or PL/SQL) including stored procedures, query tuning, performance optimization
- Experience working with Enterprise Data Warehouses (EDW) or data platforms
- Strong understanding of data integration and data movement concepts (ETL/ELT)
- Ability to work directly with business stakeholders to gather and clarify requirements
- Experience with data governance, metadata, and data cataloging tools
- Strong analytical, troubleshooting, and problem-solving skills
- Demonstrated ability to own deliverables independently and manage execution
Preferred Skills
- Experience with Azure, Synapse, or Microsoft Fabric
- AWS or other cloud data platforms (Databricks, Snowflake, etc.)
- Experience with data warehouse modernization or migration projects (on-prem → cloud)
- Experience with Databricks, Delta Lake, or lakehouse architectures
- GitHub and CI/CD practices for data solutions
- Python or PySpark (working knowledge)
- Basic understanding of XML / XSD and canonical data modeling concepts
Ideal Candidate Profile
- 8–15+ years of experience in data engineering, data modeling, or enterprise data roles
- Background in data warehouse, integration, or platform modernization programs
- Strong experience working in complex enterprise environments (retail, insurance, finance, banking, telecom, etc.)
- Comfortable acting as a bridge between business, data engineering, and analytics teams
- Strong English communication skills and ability to explain technical concepts clearly
- Experience in consulting or enterprise transformation environments is a plus
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