Data Engineer

Role: 1. Setting up and maintenance of data pipelines for Data Analytics and Machine Learning tasks to meet tech and business data requirements. 2. Maintenance of versioned datasets to enable faster data analytics 3. Automation of manual tasks. 4. Setting up and maintenance of data reporting tools like redash, report mailers, etc. 5. Responsible for ETL jobs, migration of data across various clusters/databases. 6. Ensuring quality of data, analytics pipeline reliability, and data stack efficiency. 7. Setting up and maintenance of RealTime Analytics Stack- Daily Reports - Business & Tech 8. Setting up and maintenance of Batch Data Analytics Engine. 9. Database optimization and management (MySql, postgresql, mongodb, cassandra, etc) 10. Data Analytics Support for ○ App Analytics of User Experience and Usage Patterns ○ User Onboarding and Engagement Analysis ○ Doctor App & Consulting Experience analytics ○ Marketing Analytics - Track Cohorts and optimize marketing costs & improve targeting ○ Usage Statistics & growth analytics ○ Doctor & Patient Statistics ○ Optimal Allocation Strategy & Tracking Requirements: 1. Database and Data management & Analysis Tools 2. Worked on ETL jobs, data migration 3. Mysql, Elasticsearch, python or Scripting frameworks, nodejs 4. Data analytics experience 5. Basic Web App Development (Js) for Dashboards & Reporting