Lead Data Engineer

Responsibilities

• Active contributor to cost optimization of platforms and services.
• Manage and scale Azure Data Platforms to support new product launches and drive Platform Stability and Observability across data products.
• Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for Data Platforms for cost and performance.
• Responsible for implementing best practices around systems integration, security, performance and Platform management.
• Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape.
• Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions.
• Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners.
• Develop and optimize procedures to 'production Alize' data science models.
• Define and manage SLAs for Platforms and processes running in production.
• Support large-scale experimentation done by data scientists.
• Prototype new approaches and build solutions at scale.
• Research in state-of-the-art methodologies.
• Create documentation for learnings and knowledge transfer.
• Create and audit reusable packages or libraries.

Qualifications

Skills Required

Agile Development, data engineering , Azure Data, Power Bi, Software Developement, Devops, Azure Databricks