Data Engineer Lead

Data Engineer – 2

at Traya Health

Location : Bangalore

About Us :

Traya is an Indian direct-to-consumer hair care brand platform provides a holistic treatment

for consumers dealing with hair loss. The Company provides personalized consultations that

help determine the root cause of hair fall among individuals, along with a range of hair care

products that are curated from a combination of Ayurveda, Allopathy, and Nutrition. Traya's

secret lies in the power of diagnosis. Our unique platform diagnoses the patient’s hair &

health history, to identify the root cause behind hair fall and delivers customized hair kits to

them right at their doorstep. We have a strong adherence system in place via medically

trained hair coaches and proprietary tech, where we guide the customer across their hair

growth journey, and help them stay on track.

Our Vision :

Traya was created with a global vision to create awareness around hair loss, de-stigmatise it

while empathizing with the customers that it has an emotional and psychological impact.

Most importantly, to combine 3 different sciences (Ayurveda, Allopathy and Nutrition) to

create the perfect holistic solution for hair loss patients.

The Founders :

Founded by Saloni Anand, a techie-turned-marketeer and Altaf Saiyed, a Stanford Business

School alumnus.

About the Role

We’re building our data platform from the ground up and are looking for a Data Engineer

who enjoys designing clean, scalable solutions from scratch. You’ll work on everything from

ingestion and transformation to storage and orchestration — ensuring we have reliable,

secure, high-quality data to power analytics, reporting, and machine learning. We’re open to

the tech stack and value engineers who can choose the right tools for the job, though

experience with modern cloud data ecosystems and big data frameworks will be a plus.

What You’ll Do

• Design, build, and maintain end-to-end data pipelines for both batch and streaming workloads.
• Develop ETL / ELT processes to bring data from multiple systems into a data lake or warehouse.
• Implement scalable storage and querying solutions (e.g., S3 or similar, Trino / Presto, Snowflake, BigQuery).
• Build big data processing jobs using frameworks like Spark, Flink, or equivalents.
• Write clean, maintainable code in Python, Scala, or Java for data processing and

automation.

What You Bring

Nice to Have

Why You’ll Enjoy Working Here

Traya provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, nation origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by central, state, or local laws.