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Join our team of AWS experts

What we do

Capgemini has invested in multiple departments for AWS Cloud competency building. Insights & Data – Cloud Data Platform and AI Engineering, Cloud Foundation Services, Cloud Infra Structure Services are some examples. Our offerings include –

  • Inspection, Consulting, Advisory, Architecture Design, Solution Protype Building
  • Cloud Application, Data and Analytics Delivery and Maintenance
  • Hybrid and Multi Cloud Design to Deployments and Maintenance
  • Design, Development and Maintenance of Unified Data Lake
  • Data Estate Modernization
  • Data Science, Artificial Intelligence & Machine Learning Solutions with support from Capgemini’s AI ML Research Lab, Accelerators and Assets/IPs
  • Cloud Reference Architecture and Migration frameworks, Methodologies and Accelerators curated for various industries and business sectors.

Learn more on how Capgemini’s Perform AI offerings are real world power of Artificial Intelligence:

AWS Partnership

Capgemini is AWS Premier Consulting Partner, Database Freedom Partner and AWS MSP Certified Provider with 5 competencies. Capgemini’s journey with AWS Data Analytics started more than a decade back. In 2008, Capgemini started formal partner relationship with AWS and since then our partnership grew stronger with AWS Premier Partnership Consulting partner award, SAP Competency Award, Financial Services competency Award, AWS Managed Service Provider Certification, and Data Migration Competency Award. Click here to know more.

Talent Fostering

Capgemini has more than 16,000 engineers who specialize in Data and Analytics. There are 12,000 cloud specialists in AWS, Azure, Google, Alibaba Cloud Platforms. Capgemini is the first AWS Premium Consulting Partner to get jointly certified for delivering ERP application on AWS. Capgemini differentiates from competitors by building industry specific solutions such as Guidewire on AWS. 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. To enable massive people transformation, Capgemini has launched AI Academy. AI Academy is with target to educate 1,000 employees in Data Analytics, Cloud, AI Engineering and ML in 2019. 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 employees

Capgemini’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 TitleJob Description
AWS Data Engineer/Developer3 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. Nifi, Kafka, HBase) development. Experience in Spark is mandatory.
AWS Senior Data Engineer/Developer8 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.
AWS Solutions Architect/Enterprise Architect12 to 16 of total experience with a minimum 3- year experience as an enterprise architect in big data engineering on AWS cloud. We are not looking for SysOps Administrator or Network Engineers architect as of now.

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