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Urgent! Data Pipeline Engineer Job Opening In Bengaluru – Now Hiring Traya
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.
● Set up workflow orchestration with tools like Apache Airflow or similar.
● Work with streaming platforms (Kafka, Kinesis or any similar) and Change Data Capture tools (Debezium or similar).
● Monitor, troubleshoot, and optimize pipelines for reliability and performance.
● Ensure data quality, governance, and security best practices are in place.
● Collaborate closely with analysts, data scientists, and backend engineers to deliver trusted datasets.
What You Bring
● 3–5 years of experience in data engineering or related fields.
● Strong SQL skills with experience in relational databases (PostgreSQL, MySQL, or similar).
● Familiarity with cloud data platforms (AWS, GCP, Azure).
● Hands-on experience with distributed processing frameworks (Spark, Flink, etc.).
● Proficiency in Python and/or Scala/Java.
● Experience with workflow orchestration tools (Airflow or equivalents).
● Experience with streaming technologies (Kafka, Kinesis) and CDC tools (Debezium or similar).
● Knowledge of data modeling, schema design, and performance tuning.
Nice to Have
● Exposure to NoSQL databases (MongoDB, DynamoDB, Cassandra, etc.).
● Familiarity with Infrastructure as Code (Terraform, CloudFormation).
● Understanding of lakehouse and data versioning technologies (Delta Lake, Apache Iceberg).
● CI/CD practices for data pipelines.
Why You’ll Enjoy Working Here
● You’ll be part of building the data platform from scratch
● Freedom to influence and choose the right technologies for the job.
● Collaborative, engineering-first culture solving real, high-volume data challenges.
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.
✨ Smart • Intelligent • Private • Secure
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Unlock Your Data Pipeline Potential: Insight & Career Growth Guide
Real-time Data Pipeline Jobs Trends in Bengaluru, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Pipeline in Bengaluru, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 151392 jobs in India and 12415 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in Data Pipeline roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Traya is currently hiring and seeking a Data Pipeline Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data Pipeline Engineer Jobs Bengaluru.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Traya adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Pipeline Engineer Jobs India varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Pipeline Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data Pipeline Engineer interview at Traya, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Traya's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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