Senior Data Systems Architect

19 hours ago

Kota, Rajasthan, India beBeeData Full time US$ 1,20,000 - US$ 2,00,000

About Us

We are changing the face of employee health and wellness in India.

Traditionally, Employee Health Benefits were synonymous with insurance/hospitalization benefits only; ie, Secondary Care.

Todays 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.

In a professional setting, such offerings are either lacking or provided in an ad hoc, broken manner through various individual platforms.

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

We help Companies build a Customized Wellness solution focused on Primary Care aspects such as Fitness, Mental Health, Doctor Teleconsultation, OPD programs, etc. for employees and their families.

As a Senior Data Engineer, you will have a direct impact on the tooling/development cycles/testing frameworks.

You'll work as part of a high-energy team that's scaling across all engineering functions.

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.

Key Responsibilities:

  • Process large amounts of data according to guidelines.
  • Help develop reports and analyses.
  • Support the data warehouse in identifying and revising reporting requirements.
  • Evaluate changes and updates to source production systems.
  • Identify and develop data pipelines to support data standardization.
  • Handle multiple sources of data, structure large data sets to find usable information, and the ability to come up with standardized schema.

Requirements:

  • 4-6 years of relevant experience.
  • Strong technical skills in databases such as MySQL and NoSQL.
  • Proficiency in programming languages like 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.

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