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Full-time
Group Medical Coverage, Accident Insurance, Robust Leave Policy
Posted 2d ago
~40 hrs/week
Responsibilities
Build and own production-grade batch ELT pipelines and design a lakehouse using medallion patterns. Partner with stakeholders to create reusable data products and ensure strict data governance and security standards.
Requirements
Requires 5+ years of experience in production data engineering with strong proficiency in SQL, Databricks, and Spark. Must have experience with orchestration tools like Airflow and dbt, and be comfortable with a hybrid work model in Bengaluru.
Full job description
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!
Konovo is a global healthcare intelligence company on a mission to transform healthcare research by connecting insights across the life science ecosystem.
Originally launched in 2019 as Apollo Intelligence, Konovo was born out of the combined capabilities of three industry-leading healthcare research firms: InCrowd, Survey Healthcare Global (SHG), and GlocalMind.
Konovo’s 300+ employees support top global pharmaceutical and healthcare brands, market research agencies, and consultancies by connecting them with custom healthcare audiences worldwide—physicians, KOLs, patients, caregivers, and allied healthcare professionals—through an intelligent platform.
Today, Konovo represents the broadest reach of audiences, partners, and data, supporting the generation of deeper and actionable insights in life science industries across the Americas, Europe, and Asia.
Konovo is a portfolio company of Frazier Healthcare Partners. For more information about Konovo, please visit our website www.konovo.com
Offices: 480 Pleasant St, Watertown, Massachusetts 02472, US
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