Crescendo Global
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Gurugram · On-site · 7-10 Yrs · Oct 17
HR Consulting · 51 to 200 Employees · Gurgaon, India
At Crescendo Global, we're not just building a company—we're shaping a culture. A culture rooted in grit, passion, ambition, and inclusion, where every voice matters and every goal is backed by relentless dedication. We're reimagining what senior-level hiring should feel like—for both job seekers and employers—by making the experience strategic, empowering, and human. Our team is a collective of curious minds and bold thinkers, united by a shared mission: To leave a lasting impact through every connection we create. We don’t just recruit people who are great at what they do—we bring in individuals who love what they do, and who thrive in a workplace that values purpose as much as performance. This passion shines through in everything we do—it’s the energy that drives our success and the loyalty that powers our partnerships. As we proudly celebrate 11 years of excellence in 2025, Crescendo Global stands tall with over 4,100 successful placements, across 10+ functional domains and 20+ industries. Our niche recruitment expertise spans critical areas like Analytics & Technology, Sales & Marketing, Finance & Insurance, Supply Chain & Procurement, Strategy & Change, Industrial Engineering, HR, Legal, and Research. From shaping careers to transforming businesses, We’re here to make recruitment meaningful. Join us. Let’s sculpt the future, one impactful placement at a time. Toll-Free: 1800-103-3016
Hiring: Engineering
What employees say
+ Pathetic work culture ,extreme high pressure
− They make your exit very difficult
More reviews on the company profile.
Interview experience · Consultant Sales and Marketing Strategy
3 rounds: Screening round, HR round and business discussion with the Managing Director. The focus was mainly on your understanding of the sales domain and whether you are able to carry the conversation forward.
Average difficulty · India · 13 reports
More interview insightsJob description
Overview
Title of Job – Senior Databricks Data Engineer
Responsibilities
- Design and lead Databricks Lakehouse architecture for large-scale healthcare data platforms, ensuring scalability, security, and performance.
- Develop robust ETL/ELT pipelines using PySpark, SQL, Delta Lake, Databricks Workflows, Unity Catalog, and Delta Live Tables/Lakeflow.
- Integrate healthcare data from clinical, claims, eligibility, provider, and patient systems while establishing data quality, validation, reconciliation, lineage, and governance frameworks.
- Build secure cloud-based data solutions across Azure, AWS, or GCP, ensuring appropriate protection of sensitive healthcare information, including PHI/PII, and alignment with applicable HIPAA requirements.
- Lead performance optimization, platform cost management, technical standardization, and mentoring of data engineering teams while collaborating with cross-functional stakeholders.
Qualifications
- Strong hands-on experience with Databricks, Lakehouse architecture, Delta Lake, PySpark, and SQL.
- Experience with Unity Catalog, data governance, enterprise-scale data platforms, data modelling, and ETL/ELT frameworks.
- Strong understanding of healthcare data workflows, including clinical, claims, eligibility, provider, or patient data.
- Experience with cloud platforms such as Azure, AWS, or GCP, along with data integration, orchestration tools, CI/CD, Git, and DevOps practices.
- Strong knowledge of data security, access control, Agile/Scrum methodologies, and technical leadership, with excellent collaboration and problem-solving skills.
- Opportunity to work on large-scale healthcare data engineering and analytics platforms.
- Exposure to modern Databricks Lakehouse architecture and advanced cloud technologies.
- Opportunity to drive data governance, security, and platform optimization initiatives.
- Scope to demonstrate technical leadership and mentor data engineering professionals.
- Professional growth through enterprise-level data modernization and integration projects.
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Job application FAQ
Last updated 26 October 2026
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- This is a mid-level Data bricks Data Engineer-7 plus years-Noida role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.