18 publicaciones de empleo destacadas de developer java en aguascalientes, agu (¡Están contratando!)

Data Engineer
Capgemini —Aguascalientes, Ags.
- Azure
- Oracle
- Informática
Data Engineer
Capgemini Sogeti —Aguascalientes, Ags.
- Azure
- Oracle
- Informática
Sr SDET - Remote
Capgemini —Aguascalientes, Ags.
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
MES Engineer (Rockwell FTPC) - Hybrid in Querétaro
Capgemini —Aguascalientes, Ags.
- Informática
- ERP systems
- Java
12d
SAP PO Consultant
Capgemini —Aguascalientes, Ags.
- Administración de personal
- Inglés
- Java
4d
Sr SDET - Remote
Capgemini Sogeti —Aguascalientes, Ags.
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
ABL - Developer Angular
Capgemini —Aguascalientes, Ags.
- Java
- JavaScript
- Reclutamiento
ABL - Developer Angular L3
Capgemini Sogeti —Aguascalientes, Ags.
- Java
- Experiencia en bases de datos
- SQL
11d
MES Engineer (Rockwell FTPC) - Hybrid in Querétaro
Capgemini Sogeti —Aguascalientes, Ags.
- Informática
- ERP systems
- Java
12d
SDET IOs
Capgemini Sogeti —Aguascalientes, Ags.
- Bilingüe
- Administración de personal
- DevOps
11d
ABL - Developer Angular
Capgemini Sogeti —Aguascalientes, Ags.
- Java
- JavaScript
- Reclutamiento
ABL - Developer Angular L3
Capgemini —Aguascalientes, Ags.
- Java
- Experiencia en bases de datos
- SQL
11d
ABL - Developer TIBCO
Capgemini —Aguascalientes, Ags.
- Java
- JavaScript
- Reclutamiento
SDET IOs
Capgemini —Aguascalientes, Ags.
- Bilingüe
- Administración de personal
- DevOps
11d
ABL - Developer TIBCO
Capgemini Sogeti —Aguascalientes, Ags.
- Java
- JavaScript
- Reclutamiento
SAP PO Consultant
Capgemini Sogeti —Aguascalientes, Ags.
- Administración de personal
- Inglés
- Java
4d
SDET Android
Capgemini Sogeti —Aguascalientes, Ags.
- Bilingüe
- Azure
- Administración de personal
11d
SDET Android
Capgemini —Aguascalientes, Ags.
- Bilingüe
- Azure
- Administración de personal
11d

Quiero recibir la alerta de empleo más reciente para developer java en aguascalientes, agu

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Data Engineer

Capgemini -
Aguascalientes, Ags.

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Información del empleo

Cualificaciones

Power BI
Azure
Oracle
Informática
Big data
DevOps
Spark
Microsoft SQL Server
Git
Google Cloud Platform
Tableau
Java
SOAP
SQL
Licenciatura
JavaScript
Scala
S3
Apache
Visualización de datos
Redshift
Python

Descripción completa del empleo

MID -Data Engineer- | REMOTE

At Capgemini Engineering, the world leader in engineering services, we bring together a global 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.

We are seeking a skilled Databricks Engineer / Developer to design, develop and optimize scalable data pipelines and analytics solutions using the Databricks platform. The ideal candidate will have strong expertise in Python/Azure/Power BI, cloud data engineering and experience working in distributed data processing environments . This role involves the development and application of engineering practice and knowledge in defining, configuring and deploying industrial digital technologies (including but not limited to PLM and MES) for managing continuity of information across the engineering enterprise, including design, industrialization, manufacturing and supply chain, and for managing the manufacturing data.

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)
Web-based applications and APIs (REST/SOAP)
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)
Web-based applications and APIs (REST/SOAP)
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

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developer java empleos en aguascalientes, agu

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Quiero recibir la alerta de empleo más reciente para developer java en aguascalientes, agu

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MID -Data Engineer- | REMOTE

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ABOUT CAPGEMINI

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