Job Description

Job Title:

Senior Data Engineer - BilingualWe're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled.

The global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent.

The Concentrix Technical Products and Services team is the driving force behind Concentrix’s transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision.

Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we’re proud to be recognized with awards such as "World's Best Workplaces," “Best Companies for Career Growth,” and “Best Company Culture,” year after year.

Join us and be part of this journey towards greater opportunities and brighter futures.

We are looking for a senior-level data professional with strong hands-on experience in data modeling, data integration, and enterprise data warehouse design and modernization. This role requires someone who can translate business requirements into scalable, well-structured data solutions and actively own end-to-end data delivery.

This is a hands-on role with end-to-end ownership, not a purely advisory or reporting-focused position.

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

#LI-Remote #Mexico #CostaRica #DataArchitect #DataEngineer #DataModeling

Location:

MEX Work-at-Home

Language Requirements:

Time Type:

Full time