Automation Engineering Lead Analyst - Vice President - Chennai / Pune

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Job Overview

Enterprise Analytics Services (EAS) team (Part of Cloud Technology Services Organization) seeks a highly motivated and experienced Engineering Lead Analyst to enhance our Business Intelligence Services. This role requires a strategic thinker and hands-on contributor who thrives in a fast-paced environment, passionate about building and managing best-in-class BI products as a service. The overall objective is to ensure quality standards are met within existing and planned frameworks. This is a senior level position responsible for leading a variety of engineering activities including the design, acquisition and deployment of hardware, software and network infrastructure in coordination with the Technology team. The overall objective of this role is to lead efforts to ensure quality standards are being met within existing and planned framework.

Responsibilities:

•    Design, develop, and maintain automation solutions to streamline the deployment, configuration, and lifecycle management of complex systems.
•    Identifying tasks that are repetitive, time-consuming and, strategically implement automation to optimize resource capabilities, improve efficiency and cost savings. 
•    Possess a strong understanding of DevOps and SRE principles, applying them to enhance the reliability, scalability, and efficiency of automation solutions.
•    A solid grasp of modern data technologies is essential. Build robust automations tailored for data product ecosystems, enabling seamless integration, processing, and management of complex data workflows.
•    Engineer and customize enterprise platforms to align with evolving organizational requirements, ensuring scalability, reliability, and maintainability.
•    Build and deliver custom solutions, enhancements and extensions that improve system capabilities, operational workflows, and end-user experience.
•    Evaluate and certify new product features and releases through structured testing and validation to ensure compatibility, performance, and security within the enterprise environment.
•    Collaborate cross-functionally with operations teams to provide technical guidance, develop fit-for-purpose automation tools, and support production needs.

•    Engage with external vendors and internal stakeholders to coordinate product features, raise enhancement requests, and resolve technical issues efficiently.
•    Liaise with end users and internal customers to gather requirements, provide technical solutions, and deliver a high standard of service and support.
•    Contribute to the overall system architecture and engineering strategy, promoting automation-first approaches and reusable design patterns.
•    Document processes, solutions, and best practices to ensure transparency, knowledge sharing, and operational excellence.

Qualifications:

•    Total 10+ years of IT experience 
•    Solid hands-on experience of 6+ years with Linux operating systems, including extensive experience with VMware environments.
•    Solid proficiency cultivated over 6+ years in Unix Shell scripting, Ansible, Terraform, Python scripting, and Java for robust automation and development.
•    Proven experience of 5+ years in automation, architecting, deploying, and managing solutions utilizing containerization technologies, including Docker, Kubernetes, OpenShift, and Helm, in production environments.
•    Extensive expertise with 5+ years of hands-on experience in SQL language, complemented by a strong command of multiple Relational Database Management Systems (RDBMS), HiveQL, and Spark for data manipulation and analysis.
•    Experience working with AWS/GCP. Certification is preferred. 
•    Demonstrated DevOps skills with a minimum of 4 years of experience, including proficiency in version control (GitHub) and practical application of CI/CD tools (e.g., Jenkins, Tekton, Harness).
•    Preferred experience with observability tools like Grafana, Elastic Kibana, Splunk etc.

Education:

• Bachelor’s degree/University degree or equivalent experience
• Master’s degree preferred