Posted on: 28/11/2025
Description :
About the Role :
As a Data Engineer at Kenko, you will be a key contributor to our analytics-driven environment. This role goes beyond building pipelinesyou will design scalable, creative data solutions that directly power our products, analytics stack, and customer experiences. You will work closely with cross-functional teams to convert business requirements into robust data models and build the infrastructure that accelerates decision-making across the company.
Key Responsibilities :
Data Architecture & Modeling :
- Translate business requirements into scalable, multi-tenant data models.
- Design and maintain data schemas to support analytics and product use cases.
Data Pipelines & ETL :
- Build and maintain dbt pipelines for efficient data transformation.
- Develop and manage Airflow DAGs to orchestrate and monitor ETL workflows.
- Implement and maintain CDC pipelines for near real-time data synchronization.
Data Infrastructure & Optimization :
- Optimize Amazon Redshift for query performance, reliability, and cost efficiency.
- Leverage AWS services (e.g., S3, Lambda, Glue, ECS) to support and scale the data infrastructure.
Quality, Monitoring & Collaboration :
- Diagnose and resolve data inconsistencies with an analytical and inquisitive approach.
- Collaborate with engineering, product, and analytics teams to gather requirements and architect shared datasets.
Required Qualifications :
- 3+ years of experience in Data Engineering or a related role.
- Strong engineering fundamentals and passion for data, analytics, and scalability.
- Proficiency in SQL and hands-on experience with the AWS cloud ecosystem.
- Experience building and maintaining production-grade data pipelines.
Preferred Qualifications :
- Experience with Snowflake, Redshift, BigQuery, or dbt.
- Proficiency with analytics/BI tools such as Tableau, Looker, GoodData, or similar.
Good to Have :
- Curiosity and a proactive mindset to investigate data anomalies.
- Strong communication skills to collaborate cross-functionally and design unified datasets.
About Kenko :
Kenko is backed by leaders from global organizations and high-growth startups. Our leadership team has experience at JP Morgan, Uber, Shiprocket, BrowserStack, and MagicPin, and is driven by the mission to make physical and mental healthcare more accessible.
We have raised $3.2M+ in venture capital from Antler, Pallav Nadhani (Founder, FusionCharts), and senior leaders from Meta, GitLab, Freshworks, and CleverTap.
Were expanding our high-performance teamjoin us on this rocket ship!
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Posted By
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1582354
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