Description :

About the Role :

As a Data Engineer at Kenko, you will be a core member of our highly analytical team.

This role is about more than just writing code; it's about building creative, scalable data solutions for our customers.

You will be responsible for translating business requirements into a robust data model and building the infrastructure that powers our analytics and product features.

Role Responsibilities :

- Translate business requirements into a scalable, multi-tenant data model.

- Build and maintain dbt pipelines for data transformation.

- Develop Airflow DAGs to orchestrate and monitor ETL workflows.

- Optimize Redshift for query performance and cost efficiency.

- Implement and maintain CDC pipelines for near real-time synchronization and leverage AWS services to support the data infrastructure.

Required Qualifications :

- 3+ years of experience in a Data Engineering or related role, with a focus on building data pipelines.

- A strong engineering background and a clear passion for data and analytics.

- Fluency in SQL and hands-on experience with the AWS cloud platform.

Preferred Qualifications :

- Experience with Snowflake, dbt, Redshift, or BigQuery.

- Proficiency with at least one analytics/BI tool such as Tableau, Looker, or GoodData.

Good to Have :

- An inquisitive nature in diving into data inconsistencies to pinpoint issues.

- The ability to communicate cross-functionally, derive requirements, and architect shared datasets.

Our history and background :

Our leadership team has worked at elite organizations and startups like JP Morgan, Uber, Shiprocket, BrowserStack, and MagicPin; and is passionate about making physical and mental health more accessible.

We have raised over $3.2 million in venture capital from Antler; founder of FusionCharts (Pallav Nadhani); and leaders from companies like Meta, Gitlab, Freshworks & CleverTap.

We are excited to open up more seats in this rocket ship!.