Konovo is a global healthcare intelligence company on a mission to transform research through technology- enabling faster, better, connected insights.
Konovo provides healthcare organisations with access to over 2 million healthcare professionals and patients—the largest network of its kind globally. With a workforce of over 200 employees across 5 countries: India, Bosnia and Herzegovina, the United Kingdom, Mexico, and the United States, we collaborate to support some of the most prominent names in healthcare. Our customers include over 300 global pharmaceutical companies, medical device manufacturers, research agencies, and consultancy firms.
As we transition from a service-oriented model to a product-driven platform, we are expanding our hybrid Bengaluru team. We are looking for an experienced data engineer to contribute to our mission by deep-diving into business problems, building out our data lakehouse and contributing to our advanced analytics. As a Konovo engineer, you will unlock the power of our data, learn a breadth of technologies and aspects of data engineering, help us optimize and solve some of our greatest challenges!
How You'll Make an Impact
Build and own production-grade batch ELT pipelines in Databricks/Spark (15-minute cadence during working hours; hourly off-hours)
Design, scale, and operate our lakehouse using medallion patterns (Bronze/Silver/Gold), including incremental loads, backfills, and late-arriving data handling
Create curated, well-documented data products that are reusable across teams and trusted for decision-making
Improve reliability through automated testing, monitoring/alerting, and clear SLAs for critical pipelines and tables
Partner with engineering and business stakeholders to translate needs into durable data models (not one-off extracts)
Ensure data governance and security expectations are met through disciplined implementation (access controls, lineage, and quality standards)
What We're Looking For
5+ years building and operating production data pipelines (data engineering—not primarily BI/analytics or data science)
Strong SQL plus strong data modeling skills (dimensional and/or lakehouse modeling)
Hands-on Databricks + Spark experience in production (debugging, performance tuning, cost awareness)
Experience building batch ELT at frequent cadence (e.g., 15-minute schedules), including idempotency, backfills, and late-arriving data patterns
Experience with orchestration and transformation tooling (e.g., Airflow + dbt) and modern development practices (version control, CI/CD)
Strong data quality discipline: automated tests/expectations, monitoring/alerting, and clear SLAs for critical datasets
Ownership mindset: you build it, you run it (triage, incident response, continuous improvement)
Clear written and verbal communication for engineering work (requirements clarification, design docs, tradeoffs)
Comfortable working hybrid in Bengaluru (Whitefield) and overlapping 3–4 hours with EST
Bonus Points:
Deep Delta Lake experience (schema evolution, OPTIMIZE/Z-ORDER, compaction, partitioning strategy)
CDC ingestion patterns (e.g., Debezium/Fivetran/HVR or custom CDC) and handling late/out-of-order events
Streaming or near-real-time pipelines (Structured Streaming, Kafka, Auto Loader) even if the core role is batch
Strong observability practices for data systems (metrics, lineage, data contracts, incident postmortems)
Cost and performance optimization in Databricks (cluster sizing, job tuning, Photon, caching strategies)
Experience building governed data products for multi-tenant consumption (RBAC, PII handling, auditability)
Exposure to healthcare, life sciences, or market research data and related compliance considerations
Why Join Konovo ?
Be part of a mission-driven organization that is shaping the future of healthcare decision-making.
Join a fast-growing global team with opportunities for professional growth and advancement.
Enjoy a collaborative and hybrid work environment that fosters innovation and flexibility.
Experience a workplace that puts employees first, offering a workplace designed for growth, well-being, and balance.
Become a part of an organization that prioritizes your well-being with comprehensive benefits, including group medical coverage, accident insurance, and a robust leave policy.
Make a real-world impact by helping healthcare organizations innovate faster.
If you’re eager to build a meaningful career in healthcare market research — and you’re smart, nice, and driven to make an impact — we’d love to hear from you!
... immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Functional Skills Applied Software Engineering for Data Data Architecture & Strategy Data Integration Data Management Data Visualization Data Modeling Machine Learning Nothing herein is intended to override ...
... experience with Hadoop / Big Data platforms.- Strong exposure to Big Data platform engineering and related technologies.- Experience working on/with complex data platforms and large-scale data environments.- The requirement is specifically for a Data Engineer / Big Data Engineer, not a generic application/development profile.- ...
... role Ethos is seeking a Data Engineer to join our Data Platform team and build the internal infrastructure, services, and tooling that the rest of the company's data stack runs on. This is a software engineering role with a deep data background. You will design and operate distributed workflow systems on Temporal and Airflow, ...
... across raw, curated, and consumption layers. - Collaborate with data engineers and architects to define data inputs, transformations, outputs, dependencies, and data flows. - Define data quality standards, validation rules, business logic, metadata requirements, and data control mechanisms. - Ensure data requirements address ...
... immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Functional Skills Applied Software Engineering for Data Data Architecture & Strategy Data Integration Data Management Data Visualization Data Modeling Machine Learning Nothing herein is intended to override ...
We are seeking a Data Engineer to join our team. This role involves building and maintaining data pipelines on‑premises with cloud integration. Join us to deliver high‑quality data solutions. Key responsibilities - Design, implement, and maintain scalable data pipelines. - Optimize SQL queries for performance. - Develop ...
We are seeking a Data Engineer to join our team. With expertise in big data solutions, cloud technologies, and data pipelines, you will help design and deploy scalable data architectures. Your experience will enable us to deliver high‑quality, cloud‑native data services for our clients. Key responsibilities - Provide out‑of‑the‑box ...
Role Overview : As a Data Engineer at Generali Central Insurance, you will play a crucial role in building and maintaining our data infrastructure, ensuring the availability, reliability, and quality of data for critical business decisions. You will collaborate closely with data scientists, business analysts, and other ...
Job Title: Data Engineer Location: Remote (India) Development Center: Ahmedabad, Gujarat, India Headquarters: Dallas, USA Experience: 2+ years Role Summary We are looking for a Data Engineer with strong SQL and programming skills who can design,build, and optimize scalable data pipelines and platforms — and who genuinely ...
Job Title : Data EngineerExperience : 4 - 6 YearsLocation : PuneJob Type : Full-TimeShift Timing : 2:00 PM - 11:00 PMJob Overview :We are looking for an experienced Data Engineer to design, develop, and maintain scalable data pipelines and data integration workflows that support analytics, operational reporting, and AI/ML ...
... numerous engineering teams, business stakeholders and external partners? GLG is building a next generation platform to transform the existing way we deal with data across the organization. As a data engineer you will: - Cleanse, normalize and enhance quality for both the existing operational systems as well as new data sources ...