Join Capgemini as a Senior Data Engineer, specializing in AWS. You will architect, build, and maintain robust data solutions on Amazon Web Services. This role is crucial for enabling data-driven insights by collaborating with data scientists, analysts, and business stakeholders to deliver high-performance, secure, and reliable data pipelines. You'll be instrumental in advancing our data capabilities and contributing to impactful projects.

Key responsibilities include designing and implementing scalable data architectures on AWS. You will build and manage end-to-end data pipelines, ensuring data quality, integrity, and security. This involves optimizing data storage and processing for cost-efficiency and performance. Furthermore, you'll collaborate with teams to define data requirements, support analytics and machine learning initiatives, and continuously monitor and improve existing data workflows.

Ideal candidates possess strong AWS data service experience (S3, Glue, Redshift, Athena, Lambda, EMR) and proven data engineering/ETL skills using Python, Spark, or SQL. A solid understanding of databases, data modeling, and warehousing is essential. Familiarity with big data, streaming technologies (Spark, Kafka, Kinesis), and DevOps practices (CI/CD, IaC, monitoring) is required. This is an opportunity for experienced professionals seeking a permanent role.