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Tier-1 brand, Bangalore location, popular Data Engineer title, and broad cloud+data skillset increase candidate competition.
Core AWS and data engineering skills are transferable, but banking governance, risk and controls increase domain specificity.
Multiple mandatory AWS, IaC, CI/CD, containerisation and leadership requirements make filtering strict.
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Build and maintain AWS cloud infrastructure and data architectures including pipelines, data warehouses, and data lakes ensuring data accuracy, accessibility, and security.
Automate infrastructure provisioning and manage CI/CD pipelines, operational monitoring, incident management, and cloud cost optimisation.
Collaborate with data scientists and cross-functional teams to deploy machine learning models and deliver cloud solutions with strong governance and controls.
Strong hands-on experience with AWS services including EC2, S3, VPC, RDS, IAM, Lambda, DynamoDB, CloudWatch, Auto Scaling, Load Balancers.
Proficiency in Infrastructure as Code using Terraform and/or CloudFormation plus configuration management with Ansible.
Experience with CI/CD tools (e.g., Jenkins, GitHub, GitLab) and Linux administration including shell scripting.
Work Experience Required: Not explicitly mentioned in the JD; Location: Bengaluru based role.
Experienced in designing and managing scalable, secure, and cost-efficient cloud data architectures and pipelines on AWS.
Demonstrates operational ownership by handling production environments, incident management, and governance controls within a regulated environment.
Capable of influencing stakeholders, providing technical guidance, and leading complex collaborative projects within a large enterprise setting.