Data Engineer

Visit

On-site

Noida, India

Full-time

Mid Level

2+ yrs

Salary not listedPosted 4w ago

Save

Real job — pulled straight from Visit’s careers page · Verified July 13, 2026 · No reposts.

Visit is hiring a Data Engineer — a full-time, based in Noida, India role. Apply directly on Visit's careers page below.

Data Engineer

Location: Noida, India

Department: Technology Teams

Experience: 2+ years

About Us

Visit Health is a pioneering health-tech platform, founded in 2016 by BITS Pilani alumni, dedicated to making healthcare accessible, affordable, and preventive. Originated as a telemedicine platform during the 2015 Swine Flu epidemic, Visit Health has grown into an all-in-one wellness ecosystem that connects doctors, insurers, and millions of Indian families. Our services range from physical and mental wellness to OPD benefits, empowering both individuals and corporations to prioritize well-being.

Our Core Offerings

- Employee Assistance Program (EAP): Mental health support services for a balanced work-life experience.

- Personalized Health Plans: Tailored wellness programs with fitness, meditation, and nutritional guidance.

- Health Check-ups & Screenings: Preventive check-ups and vaccinations for proactive health management.

- Comprehensive Wellness Programs: Designed to boost morale, productivity, and holistic employee health.

- Preventive & OPD Care: Seamless primary care and OPD services, reducing out-of-pocket expenses through cashless OPD benefits.

Founding Team

The founding team — Chetan Anand, Anurag Prasad, Vaibhav Singh, and Shashvat Tripathi — established Visit Health to bridge the healthcare gap in India. Driven by their experiences with limited healthcare access in Pilani, they have built Visit Health into a platform that advocates quality, accessible healthcare for everyone.

What Sets Us Apart

- Comprehensive & Flexible OPD Benefits: Visit offers unlimited access packages for employees and dependents, covering mental health, nutrition, diagnostics, and doctor consultations.

- Integrated Platform: Combining primary and secondary care, our platform connects corporates, insurers, and retailers, making healthcare seamless and holistic.

- Engagement & Gamification: AI-driven insights, step challenges, and rewards (FitCoins) drive high engagement and builds lasting healthy habits.

- 24/7 Accessibility: Accessible health support anytime, designed to address India’s diverse healthcare needs.

Key Milestones & Achievements

- Expanding Primary Care Access: Serving over 5 million users with 1.5 million annual health checkups, 500,000 doctor consultations, and 200,000 pharmacy orders.

- Strategic Partnerships: Collaborations with leading insurers and doctors, reaching 2,500 major Indian corporations and MSMEs.

- Technological Innovation: Introduced India’s first cashless OPD insurance program in partnership with Apollo Munich, with a network of over 35,000 doctors.

- Awards & Recognition: Honored in Forbes 30 Under 30 Asia (2020) and BITSAA Global 30 Under 30 (2022).

- Funding Success: Secured over $40 million in investments to drive growth and service expansion.

Future Vision

Visit Health aims to further strengthen India’s primary care infrastructure, expand its corporate and insurer partnerships, and introduce advanced health tech solutions. With a focus on universal health coverage, we’re committed to making healthcare accessible for all employees and their families, supporting them in leading healthier lives.

Visit Health — Empowering workplaces with accessible, affordable, and impactful healthcare.

We are looking for a Data Engineer to join our high-energy team

As part of your day-to-day work, you will:

Design, build, and maintain robust data pipelines to support data ingestion, transformation, and standardization across multiple source systems.
Develop and manage data warehouse schemas, ensuring data integrity, consistency, and alignment with product and business requirements.
Collaborate with stakeholders to identify, define, and revise reporting and analytical requirements.
Develop reports, dashboards, and data analyses that maintain data sanity and surface actionable insights for business decision-making.
Visualize data effectively using graphs, infographics, cohort analyses, heat maps, clustering, and other techniques suited to the audience and use case.
Evaluate and monitor changes to upstream production systems, assessing downstream impact and implementing necessary pipeline updates.

Must-Haves:

2–5 years of hands-on experience in data engineering or a closely related role.
Strong proficiency in SQL with working knowledge of relational databases such as MySQL — including stored procedures, functions, indexing, schema design, and relationship management.
Hands-on experience with AWS services and Amazon Redshift, including a solid understanding of columnar vs. row-based storage, joins, CTEs, primary and foreign keys, schema modeling, and query execution plan analysis and optimization.
Advanced Python proficiency across two key areas: (a) data analysis using libraries such as Pandas, Polars, NumPy, and Lambda functions on extracted datasets, and (b) data ingestion and extraction workflows using database connections, connection pooling, and ORM/abstraction layers.
Experience with at least one data visualization or BI tool such as Amazon QuickSight, Tableau, or Power BI.
Solid understanding of data warehousing concepts and ETL/ELT design patterns.
Proficiency in Microsoft Excel for ad hoc analysis and reporting.
Strong analytical and problem-solving skills with the ability to evaluate existing tools and databases and recommend improvements or alternatives.
Familiarity with data addressing, metadata standards, and data governance principles.
Excellent written and verbal communication skills, with the ability to work effectively with both technical and non-technical stakeholders.