**MID -Data Engineer
- | REMOTE**:
At Capgemini Engineering, the world leader in engineering services, we bring together a integral team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D; and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
**YOUR ROLE**:
- Design, develop, and support data replication and integration solutions using HVR
- Design, build, and maintain scalable data pipelines using Databricks (Spark, Delta Lake)
- Develop and optimize ETL/ELT processes for structured and unstructured data
- Work with large datasets to ensure data quality, integrity, and performance optimization
- Implement data models and transformations for analytics and reporting
- Collaborate with data scientists and analysts to enable advanced analytics and ML workloads
- Integrate data from multiple sources including databases, APIs, and streaming systems
- Optimize Spark jobs for performance tuning and cost efficiency
- Implement data governance, security, and access controls
- Monitor and troubleshoot data pipelines and production issues
- Support CI/CD pipelines and DevOps best practices for data engineering workflows
- Support data migration and modernization initiatives.
- Ensure data quality, governance, security, and compliance standards.
- Create operational documentation, runbooks, and support procedures.




- Participate in production support, issue resolution, and performance tuning activities.
**YOUR PROFILE**:
- Bachelor’s degree in computer science, Engineering, or related field
- **Technical Skills**:
- Hands-on experience with data engineering or big data development
- Strong knowledge of:
- SQL / Oracle / SQL Server
- Java / JavaScript (preferred)
- Strong experience with:
- Databricks Platform
- Apache Spark (PySpark/Scala)
- SQL & Python
- Experience with Delta Lake and data lake architecture
- Hands-on experience with cloud platforms (Azure, AWS, or GCP)
- Familiarity with data orchestration tools (Azure Data Factory, Airflow, etc.)
- Knowledge of data warehousing concepts (Star schema, Snowflake schema)
- Experience with version control (Git) and CI/CD pipelines
- Strong understanding of data pipeline optimization and performance tuning
**Tech Stack**:
- Databricks (Spark, Delta Lake)
- Python / PySpark / SQL
- Azure (ADLS, Synapse, ADF) / AWS (S3, Redshift, Glue)
- Git, CI/CD tools
- Data visualization tools (Power BI, Tableau)
- Bachelor’s degree in computer science, Engineering, or related field
- **Technical Skills**:
- Hands-on experience with data engineering or big data development




- Strong knowledge of:
- SQL / Oracle / SQL Server
- Java / JavaScript (preferred)
- Strong experience with:
- Databricks Platform
- Apache Spark (PySpark/Scala)
- SQL & Python
- Experience with Delta Lake and data lake architecture
- Hands-on experience with cloud platforms (Azure, AWS, or GCP)
- Familiarity with data orchestration tools (Azure Data Factory, Airflow, etc.)
- Knowledge of data warehousing concepts (Star schema, Snowflake schema)
- Experience with version control (Git) and CI/CD pipelines
- Strong understanding of data pipeline optimization and performance tuning
**Tech Stack**:
- Databricks (Spark, Delta Lake)
- Python / PySpark / SQL
- Azure (ADLS, Synapse, ADF) / AWS (S3, Redshift, Glue)
- Git, CI/CD tools
- Data visualization tools (Power BI, Tableau)
**WHAT YOU’LL LOVE ABOUT WORKING HERE?**:
- At Capgemini Engineering, we encourage flexibility in how, when, and where people get their work done, allowing a better work-life balance, and greater empowerment. They partner with their managers to find an arrangement that works best for their role and their circumstances.
- At Capgemini Engineering, we’re always looking ahead. We’re part of a team that creates opportunities to achieve valuable change. Change that makes a difference. New connections, new technologies, new ways to work. It’s so energizing.
- At Capgemini Engineering, we make it easy for you to deepen knowledge and learn new skills while you’re still doing the day job.
**ABOUT CAPGEMINI**:

📌 Data Engineer (Aguascalientes)
🏢 Capgemini Sogeti
📍 Aguascalientes