**Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible.Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
****Your Role**As a **Senior Data Engineer at Capgemini**, you will play a key role in a strategic data modernization initiative for a leading financial services organization.You will help transform legacy data environments into modern, scalable data platforms by leveraging technologies such as Snowflake, Hive, Databricks, and Airflow.This position requires a highly experienced and self-driven professional capable of rapidly understanding complex data ecosystems, optimizing data workflows, and delivering immediate value in a fast-paced environment with critical business impact.
**Responsibilities & Scope**- Design, develop, and optimize scalable **ETL and data processing pipelines**.
- Lead the migration of legacy **SQL Server environments** to modern cloud-based data platforms.
- Develop, optimize, and maintain complex **SQL queries** for data transformation, reporting, and performance improvement.
- Build, schedule, and maintain data workflows using **Apache Airflow**.
- Design and develop data processing solutions using **Python**.
- Create and optimize data models, including schema design, partitioning strategies, and performance tuning.
- Analyze, troubleshoot, debug, and enhance existing data pipelines and integrations.
- Ensure high levels of **data quality, integrity, reliability, and governance** across platforms.
- Collaborate with data architects, analysts, business stakeholders,



and engineering teams to deliver business-critical data solutions.
- Identify bottlenecks, performance issues, and opportunities for improvement within complex data ecosystems.
- Support the adoption of modern data engineering best practices and scalable architecture patterns.
**Your Profile**- **Results-driven professional** - Capable of delivering value quickly in high-impact and fast-paced environments.
- **Strong analytical thinker** - Experienced in solving complex data challenges and debugging sophisticated workflows.
- **Self-starter** - Comfortable working independently with mínimal supervision.
- **Problem solver** - Able to investigate root causes and implement sustainable solutions.
- **Collaborative team player** - Effectively partners with technical and business stakeholders.
- **Continuous learner** - Passionate about modern data technologies and engineering best practices.
**Qualifications & Preferred Skills****Required Skills**:- 5+ years of experience in **Data Engineering**.
- Advanced expertise in **SQL** with a strong focus on query optimization, data transformation, and performance tuning.
- Proven experience designing and developing **ETL and data processing solutions**.
- Strong ability to analyze, troubleshoot, and understand complex data pipelines and workflows.
- Experience working independently and rapidly ramping up within new technical environments.
- Strong understanding of data integration,



data quality, and data lifecycle management.
- Excellent analytical, problem-solving, and communication skills.
**Preferred Skills**- Hands-on experience with **Snowflake and/or Hive** (experience with at least one is highly preferred).
- Strong proficiency in **Python** for data engineering and automation tasks.
- Experience building and maintaining workflows using **Apache Airflow**.
- Exposure to **Databricks** and modern data lakehouse architectures.
- Solid understanding of **data warehousing concepts**, dimensional modeling, and large-scale data processing.
- Experience supporting cloud-based data platforms and modernization initiatives.
- Familiarity with Agile methodologies and modern software development practices.
**What You'll Love**- Opportunity to participate in a large-scale data modernization and transformation program.
- Exposure to modern data technologies and enterprise-scale data platforms.
- Access to industry-leading learning platforms, certifications, and professional development opportunities.
- Collaborative, diverse, and innovative work environment.
- Opportunities to work alongside highly skilled data and technology professionals globally.
- Well-being initiatives and programs designed to support your personal and professional growth.
**Need to Know****Career Development in Spanish & English**: Access to training, certifications, mentorship programs, and learning opportunities designed to support your bilingual professional growth.
**Community Engagement**: Participate in volunteering activities, technology communities, networking events, and knowledge-sharing sessions across Capgemini.
**About Capgemini**Capgemini is a integral business and technology tra

📌 Data Engineer (Aguascalientes)
🏢 Capgemini
📍 Aguascalientes