![]() Experience in Spark is mandatory.Ĩ to 12 years experience with a minimum 4-year hands-on experience in Big data technologies & AWS, including ability to create DevOps, CI CD pipelines.ĪWS Solutions Architect/Enterprise Architectġ2 to 16 of total experience with a minimum 3- year experience as an enterprise architect in big data engineering on AWS cloud. Apart from AI Academy various other learning and development programs such as AWS Cloud Academy, AWS Well Architected Review Training, AWS Data Labs, AWS Innovation, drives, Capgemini is targeting to transform additional 6,000 employeesĬapgemini’s Insights and Data global business line is hiring Amazon Web Services (AWS) Cloud Developers & Architects having 2 to 16 years of experience at various locations in India – Mumbai, Hyderabad, Bengaluru, Pune and Chennai Below is the brief job description: Job Titleģ to 8 years experience with a minimum of 2 years experience in at least 2 of the in Python / PySpark /Scala, Redshift, RDS, S3, Athena, Kinesis, Lambda, EMR, Glue, Apache Stack (e.g. ![]() AI Academy is with target to educate 1,000 employees in Data Analytics, Cloud, AI Engineering and ML in 2019. To enable massive people transformation, Capgemini has launched AI Academy. Capgemini is certifying additional 6000 people, and currently has 2,200 + AWS certified people, with 300+ engineers certified in AWS Professional and Specialty level certification. ![]() Capgemini differentiates from competitors by building industry specific solutions such as Guidewire on AWS. Capgemini is the first AWS Premium Consulting Partner to get jointly certified for delivering ERP application on AWS. There are 12,000 cloud specialists in AWS, Azure, Google, Alibaba Cloud Platforms. Capgemini has more than 16,000 engineers who specialize in Data and Analytics.
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