Job Title: AWS Consultant Infrastructure, Data & AI, and Databricks Location: Bangalore Experience: 35 Years Employment Type: Full-Time About the Role We are looking for an experienced and versatile AWS Consultant with a strong foundation in Infrastructure and Data & AI solutions, coupled with hands-on expertise in Databricks. The ideal candidate will contribute not only to technical implementation but also to pre-sales engagements by crafting effective RFP responses, Statements of Work (SOWs), and technical proposals. Key Responsibilities Design, implement, and optimize AWS Infrastructure solutions, including VPCs, EC2, S3, IAM, Route 53, CloudWatch, and Load Balancing. Deliver secure and scalable data solutions using: AWS Glue, AWS Redshift, Athena, Lake Formation SageMaker, QuickSight, and other AI/ML services Databricks on AWS for advanced data engineering and collaborative analytics Architect and implement ETL/ELT pipelines, data lakes, and distributed compute frameworks. Work on automation and infrastructure as code using tools like CloudFormation or Terraform, and manage deployments using AWS CodePipeline, GitHub Actions, or Jenkins. Collaborate with internal teams and clients to gather requirements, assess current-state environments, and define cloud transformation strategies. Actively support pre-sales and delivery cycles by contributing to: RFPs and RFIs SOWs and LOEs Solution blueprints and technical documentation Ensure best practices in cloud security, cost governance, and compliance. Required Skills & Qualifications 3 to 5 years of hands-on experience with AWS services, including infrastructure and data platforms. Bachelor's degree or equivalent experience Strong understanding of cloud networking, IAM, security best practices, and hybrid connectivity. Proficiency in Databricks on AWS, including notebooks, clusters, job orchestration, and Delta Lake. Experience with data modeling, ETL frameworks, and working with structured/unstructured data. Working knowledge of DevOps tools and processes in the AWS ecosystem. Strong documentation skills and ability to support pre-sales engineering efforts. Excellent communication skills with the ability to translate business needs into technical solutions. Preferred Certifications AWS Certified Solutions Architect Associate or Professional AWS Certified Data Analytics Specialty (preferred) Databricks Certified Data Engineer Associate/Professional (a plus),
Employement Category:
Employement Type: Full time Industry: IT Services & Consulting Role Category: Not Specified Functional Area: Not Specified Role/Responsibilies: AWS & Databricks Consultant