Capgemini Technology Services
FBS Data Engineer
Rol remoto de Data Engineering con fit claro de ubicación del candidato.
Publicado23 jul 2026
Países elegibles1 país aceptado
Señal de senioritySenior
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
México
Resumen del rol
FBS Data Engineer
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
What to expect on your journey with us:
- A solid and innovative company with a strong market presence
What to expect on your journey with us:
- A dynamic, diverse, and multicultural work environment
What to expect on your journey with us:
- Leaders with deep market knowledge and strategic vision
What to expect on your journey with us:
- Continuous learning and development
Data infrastructure development:
- Pipeline Design and Development; Architects and builds scalable data pipelines using modern ETL (Extract, Load, Transform) tools and frameworks such as DBT (Data Build Tool), or similar.
- Automates data ingestion processes from various sources including databases, APIs, and third party services.
- Data Storage and Management - Designs and implements data warehousing solutions using platforms like Snowflake, Redshift, or BigQuery.
- Optimizes storage solutions for performance, cost efficiency, and scalability.
Data modeling and transformation:
- Data Modeling - Develops and maintains logical and physical data models to support business analytics.
- Creates and manages dimensional models, star/snowflake schemas, and other data structures.
- Data Transformation - Transforms raw data into clean, organized, and analytics-ready datasets using SQL, Python, or other relevant languages.
- Implements data transformation workflows to handle data cleansing, normalization, and enrichment.
- Data Quality Assurance - Conducts data validation and consistency checks to ensure the accuracy and reliability of data. Implements data quality monitoring and alerting mechanisms.
Data modeling and transformation:
- Cross-Functional Collaboration - Works closely with data analysts, data scientists, and business stakeholders to gather requirements and understand their data needs.
- Acts as a liaison between technical teams and business units to translate business requirements into technical specifications.
Data governance and security knowledge:
- Governance Policies Implements and enforces data governance policies to ensure data privacy, security, and compliance with relevant regulations.
- Defines and manages data access, controls, permissions, and audit trails.
- Security Measures - Monitors and enforces data security measures to protect sensitive information from unauthorized access and breaches.
- Ensures compliance with industry standards and regulations such as GDPR, CCPA, or HIPAA and others as applicable.
Requirements
- 4+ years working with Python and SQL
- Data Transformation
- Data Quality Assurance
- Pipeline Design and Development
- Technical Communication
- Experience working with DBT and SnowFlake
- Experience working with Data Governance
Nice to haves
- Experience working with Databricks
Benefits
- A competitive salary and performance-based bonuses.
Benefits
- Comprehensive benefits package.
Benefits
- Flexible work arrangements (remote and/or office-based).
Benefits
- You will also enjoy a dynamic and inclusive work culture within a globally renowned group.
Benefits
- Private Health Insurance.
Benefits
- Paid Time Off.
Benefits
- Training & Development opportunities in partnership with renowned companies.
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Flujo de contratación
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