Overview
Position OverviewWe are seeking an experienced Technical Project Manager to lead large-scale, complex Data, BI, and Devops, Python, AWS, CLOUD, Jenkins, Ansible, Docker, Amazon Web Services (AWS), kubernetes, nexus, PagerDuty, Terraform AWS, Devops Engineer, Linux . Shell Scripting AWS, DevOPS initiatives. The ideal candidate will have a deep technical understanding of modern data architecture, hands-on expertise in end-to-end solution delivery, and a proven ability to manage client relationships and multi-functional teams. This role will involve driving innovation, operational excellence, and strategic growth within Data Engineering & Analytics programs.
Job Description
- Experience architecting, designing & developing Data Engineering, Business Intelligence and reporting projects
- Experience on working with data management solutions like Data Quality, Metadata, Master Data, Governance.
- Strong experience in Cloud Data migration programs
- Focused on value, innovation and automation led account mining
- Strong Interpersonal, stakeholder management and team building skills
- Deep hands-on expertise in E2E solution life cycle management in Data Engineering and Data Management.
- Strong technical understanding of modern data architecture and solutions
- Ability to execute strategy for implementations through a roadmap and collaboration with different stakeholders
- Understanding of Cloud data architecture and data modeling concepts and principles, including Cloud data lakes, warehouses and marts, dimensional modeling, star schemas, real time and batch ETL/ELT
- Would be good to have experience in driving lead large-scale, complex Data, BI, and DEVOPS,Python,AWS,CLOUD, Jenkins, Ansible, Docker, Amazon Web Services (AWS), kubernetes, nexus, Pagerduty, Terraform AWS, Devops Engineer, Linux . Shell Scripting AWS, DevOPS projects
- Experience with cloud-based data analytic platforms such as GCP, Snowflake, Azure etc
- Good understanding of SDLC and Agile methodologies
Would be good to have a Telecom background.
Qualification
- 15-20 yrs experience primarily working on Data Warehousing, lead large-scale, complex Data, BI, and DEVOPS,Python,AWS,CLOUD, Jenkins, Ansible, Docker, Amazon Web Services (AWS), kubernetes, nexus, Pagerduty, Terraform AWS, Devops Engineer, Linux . Shell Scripting AWS, DevOPS
Required Skills:
6.10 years of experience in IT project management or technical program delivery Proven track record of managing software development projects using Agile/Scrum Solid understanding of backend and frontend technologies (Node.js, React.js preferred) Experience working with AWS services, especially serverless architecture (API Gateway, Lambda, DynamoDB, S3) Strong understanding of API integrations, SDLC tools, and DevOps workflows Excellent communication, stakeholder management, and conflict resolution skills Proficiency with project tracking tools like JIRA and Confluence Ability to manage multiple workstreams and drive consensus across distributed teams Good to Have: Prior experience delivering enterprise automation or DevOps-related platforms Knowledge of API security, OAuth2, SSO, and compliance frameworks Exposure to CI/CD tools and infrastructure-as-code practices Familiarity with monitoring/logging solutions such as CloudWatch, ELK, or Prometheus