Data Platform Strategist

3 days ago

Dombivli, Maharashtra, India beBeeData Full time ₹ 1,80,00,000 - ₹ 2,52,00,000

Job Title: Data Platform Strategist

About the Role

We are seeking an exceptional Engineering Manager to provide technical leadership for a highly scalable data platform in clinical oncology or the healthcare domain. The ideal candidate will have expertise spanning AWS, Python, Terraform, and AI.

The role demands a blend of strong technical skills in areas like data architecture, ETL, cloud platforms, and big data technologies, alongside essential soft skills such as leadership, communication, problem-solving, business acumen, and project management.

Key Responsibilities
  • Data Engineering Lifecycle: Spearhead research, proof of concept, architecture, development, testing, deployment, and ongoing maintenance of data solutions
  • Data Solutions: Design and implement modular, flexible, secure, and reliable data systems that scale with business needs
  • Instrumentation and Monitoring: Integrate pipeline observability to detect and resolve issues proactively
  • Troubleshooting and Optimization: Develop tools and processes to debug, optimize, and maintain production systems
  • Tech Debt Reduction: Identify and address legacy inefficiencies to improve performance and maintainability
  • Debugging and Troubleshooting: Quickly diagnose and resolve unknown issues across complex systems
  • Documentation and Governance: Maintain clear documentation of data models, transformations, and pipelines to ensure security and governance compliance
  • Cloud Expertise: Leverage advanced skills in AWS and EKS to build, deploy, and scale cloud-native data platforms
  • Team Leadership: Lead and mentor engineering teams to ensure operational efficiency and innovation

 

Benefits

This role offers the opportunity to work on cutting-edge projects, develop technical expertise, and lead high-performing teams. You will be part of a dynamic organization that values innovation, collaboration, and employee growth.

 

Requirements

To succeed in this role, you must possess:

• Strong technical knowledge of data engineering, cloud computing, and software development

• Excellent leadership and communication skills

• Ability to collaborate with cross-functional teams

• Strong analytical and problem-solving skills

• Experience with AWS, Python, Terraform, and AI

• Ability to adapt to changing priorities and deadlines

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