At Capgemini Engineering, the world leader in engineering services, we bring
together a general 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
📌 Data Engineer (Aguascalientes)
🏢 Capgemini
📍 Aguascalientes
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