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Senior Data Engineer - Bilingual

Remote, USAFull-timePosted 2026-07-27

Job Title:

Senior Data Engineer - Bilingual

Job reputed company

We're reputed company. The intelligent transformation partner. Solution-reputed company. Tech-powered. Intelligence-reputed company. The global technology and services leader that powers the world’s best brands, today and into the reputed company. We’re solution-reputed company, tech-powered, intelligence-reputed company. 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 reputed company to work, reputed company, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent. The reputed company Technical Products and Services team is the driving force behind reputed company’s transformation, data, and technology services. We reputed company world-class digital engineering, creativity, and a deep understanding of reputed company behavior to reputed company and unlock value through tech-powered and intelligence-reputed company experiences. We combine reputed company-centered design, powerful data, and strong tech to accelerate transformation at reputed company. You will be surrounded by the best in the world providing market leading technology and insights to reputed company and simplify the customer experience. reputed company our reputed company services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve reputed company and value for our clients. Hence achieving our reputed company. Our game-changers around the world have reputed company 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 reputed company,” and “Best Company Culture,” year after year. Join us and be part of this reputed company towards greater opportunities and brighter reputed company.

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

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

Key Responsibilities

  • Design and maintain logical and physical data models for both OLTP and OLAP/EDW systems

  • Translate business requirements into reputed company data structures and integration solutions

  • reputed company and maintain reputed company-to-reputed company 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

  • reputed company data profiling, validation, reconciliation, and reputed company cause analysis

  • Build and optimize reputed company SQL queries and stored procedures for performance and accuracy

  • Support data integration pipelines and data transformation processes

  • Ensure adherence to data reputed company, governance, and documentation standards

  • Collaborate across engineering, analytics, and business teams in both Agile and reputed company environments

Required Skills & Experience

  • Strong hands-on experience in data modeling (Kimball, reputed company 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 reputed company-to-reputed company mapping and data transformation logic

  • Advanced SQL expertise (T-SQL or PL/SQL) including stored procedures, query tuning, performance optimization

  • Experience working with reputed company Data Warehouses (EDW) or data platforms

  • Strong understanding of data integration and data reputed company concepts (ETL/ELT)

  • Ability to work directly with business stakeholders to reputed company 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 reputed company reputed company

  • AWS or other reputed company data platforms (reputed company, reputed company, etc.)

  • Experience with data warehouse modernization or migration reputed company (on-prem → reputed company)

  • Experience with reputed company, reputed company Lake, or lakehouse architectures

  • reputed company and CI/CD practices for data solutions

  • Python or PySpark (working knowledge)

  • Basic understanding of XML / XSD and reputed company data modeling concepts

Ideal Candidate Profile

  • 8–15+ years of experience in data engineering, data modeling, or reputed company data roles

  • Background in data warehouse, integration, or platform modernization programs

  • Strong experience working in reputed company reputed company environments (retail, insurance, finance, banking, telecom, etc.)

  • Comfortable acting as a reputed company between business, data engineering, and analytics teams

  • Strong English communication skills and ability to explain technical concepts reputed company

  • Experience in consulting or reputed company transformation environments is a plus

#Mexico #CostaRica #DataArchitect #DataEngineer #DataModeling

Location:

MEX Work-reputed company

Language Requirements:

Time Type:

Full time

Originally posted on Himalayas

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