Data Engineer

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!

Apply now to be part of our journey.