Chief Data Architecture Specialist

5 days ago


Amrāvati, Maharashtra, India beBeeDataEngineer Full time ₹ 24,00,000
Job Opportunity

We're revolutionizing employee health and wellness in India.

Traditionally, Employee Health Benefits were synonymous with insurance/hospitalization benefits only; ie, Secondary Care. Today, 90% of individual healthcare and wellness-related expenses in India are out of pocket on Primary Care; be it Mental Wellness, Fitness, Nutrition, Diagnostics, Medicines, and most of all, regular doctor appointments.

This is where we come in - a one-stop solution for all employee health benefits needs.

  • You will have a direct impact on the tooling/development cycles/testing frameworks.
  • Pushing high-quality code on NodeJS, ensuring Data integrity across multiple data storages (DB/Kafka/S3, etc) while also balancing the pros/cons of speed/quality will be critical.

As part of your day-to-day work, you will

  1. Process data and information according to guidelines.
  2. Help develop reports and analyses.
  3. Support the data warehouse in identifying and revising reporting requirements.
  4. Evaluate changes and updates to source production systems.
  5. Identify and develop data pipelines to support data standardization.
  6. Handle multiple sources of data, structure large data sets to find usable information, and the ability to come up with standardized schema.
  7. Use graphs, infographics, data dumps, cohorts, heat maps, clusters, and other methods to visualize data.

Key Requirements:

  • 4 to 6 years of relevant experience.
  • Good knowledge of databases such as MySQL and No SQL.
  • Good Coding skills in languages such as Python.
  • Proficiency in Microsoft Excel.
  • Analytical and problem-solving skills.
  • Knowledge of data gathering, cleaning, and transforming techniques.
  • Reporting and data visualization skills using software like Tableau, PowerBI, or any other tool.
  • Understanding of data warehousing and ETL techniques.
  • Strong written/verbal communication skills.
  • Ability to analyze existing tools and databases and provide software solution recommendations.
  • Understanding of addressing and metadata standards.


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