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. 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!
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)
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., Strong data quality discipline: automated tests/expectations, monitoring/alerting, and clear SLAs for critical datasets
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)
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
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.

Data Engineer SQL - Hybrid Working

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