Sr- Data Engineer- Sr | 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

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Design, build, and maintain data pipelines and ETL processes using Databricks and Apache Spark.

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Optimize data workflows for performance, scalability, and cost efficiency.

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Implement data Lakehouse architecture and manage data ingestion from multiple sources.

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Collaborate with data scientists and analysts to enable advanced analytics and machine learning workloads.

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Ensure data quality, governance, and security across all data assets.

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Monitor and troubleshoot Databricks clusters, jobs, and workflows.

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Integrate Databricks with cloud services (AWS, Azure, or GCP) and other enterprise systems.

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Document processes, standards, and best practices for data engineering.

YOUR PROFILE

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Experience with Delta Lake and Lakehouse architecture.

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Knowledge of Azure Data Factory (ADF) for orchestration.

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Exposure to CI/CD pipelines for data engineering.

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Experience with SQL and Spark SQL.

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Azure certifications related to data engineering.

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. Ne

📌 Sr Data Engineer (Aguascalientes)
🏢 Capgemini
📍 Aguascalientes