Databricks Engineer in Bangalore, भारत

Preferred (Domain) : Pharma or life sciences backgroundKey Responsibilities : 1. Solutioning & Architecture : - Translate client requirements into Databricks-based solution designs - data pipelines, Lakehouse layouts, and serving layers.- Recommend the right Databricks components (Delta Live Tables, Workflows, Unity Catalog, Databricks SQL, Genie) for a given use case.- Participate in pre-sales and proposal discussions, contributing effort estimates and technical approach.- Review architecture decisions with senior architects and flag risks or better alternatives.2. Hands-On Build & Delivery : - Build and maintain end-to-end pipelines : ingestion (Auto Loader, DLT), transformation (dbt or native PySpark/SQL), and serving (Unity Catalog, Databricks SQL).- Work directly with pharma commercial datasets - IQVIA, Symphony, CRM, Hub/SP, claims - modeling them into clean, governed Delta Lake structures.- Develop and maintain reusable components : notebooks, job templates, SQL libraries, and data quality checks.- Configure and tune Genie Spaces and AI/BI dashboards for client-facing analytics use cases.- Own workspace-level hygiene : cluster policies, job scheduling, cost tracking, and performance tuning.3. Platform Currency & Best Practices : - Stay updated with new Databricks releases and features and assess their relevance to pharma use cases.- Bring new capabilities into existing client engagements where they create real value.- Contribute to and maintain internal Databricks standards, templates, and knowledge base.- Support the certification and upskilling of junior engineers and analysts.4. Client & Team Collaboration : - Act as the day-to-day Databricks technical point of contact on assigned client engagements.- Explain technical trade-offs in plain terms to non-technical stakeholders.- Collaborate with analytics, forecasting, and delivery teams.5. Practice Building : - Help establish the Databricks practice at DataZymes - codifying reusable design patterns, reference architectures, and coding standards.- Design and build solution accelerators for common pharma use cases (prescription analytics, patient cohort analysis, omnichannel attribution).- Support partnership conversations with Databricks by contributing technical https://jobeax.com/link/pcbWmnsMMdladkQy Candidate : - Strong hands-on Databricks Architect/Engineer profile with end-to-end build-and-solution capability and Databricks professional certification.- 5+ years in Data engineering/Data architect roles, with at least 3 years of hands-on Databricks experience.- Must be able to design a solution end-to-end and build it themselves.- Must have experience translating client/business requirements into Databricks solution designs.- Must have built and maintained end-to-end pipelines (ingestion, transformation, serving).- Must hold at least one active Databricks Professional-level certification.- Solid working knowledge across the Databricks stack (Delta Lake, DLT, Unity Catalog, Auto Loader, Databricks SQL, Workflows).- Strong SQL and PySpark skills.- IT services/consulting background with direct delivery on client engagements preferred.- Stable tenure : 2+ years average per employer.- Role is Hybrid, with WFH flexibility up to 6 days a https://jobeax.com/link/lP5hzUXaqKlH6Rj9 : CTC is inclusive of 20% variable. (ref:hirist.tech)