Senior Data Engineer

Experience : 7 to 12 years Location : Sec 142, Noida Work Mode : Hybrid (MWF from Office) Key Responsibilities : - Spearhead the discovery, evaluation, and integration of new datasets, collaborating (incl. pipeline development and data modeling/documentation) working closely with key data stakeholders to understand their impact and relevance to our core products and the healthcare domain. - Translate product / analytical vision into highly functional data pipelines supporting high quality & highly trusted data products (incl. designing data structures, building and scheduling data transformation pipelines, improving transparency etc.). - Set the standard for data engineering practices within the company, guiding the architectural approaches, data pipeline designs, and the integration of cutting-edge technologies to foster a culture of innovation and continuous improvement. Key Qualifications : - Excellent cross-functional communication - the ability to break down complex technical components for technical and non-technical partners alike - Innate aptitude for interpreting complex datasets with demonstrated ability to discern underlying patterns, identify anomalies, and extract meaningful insights, demonstrating advanced data intuition and analytical skills. (Healthcare experience preferred) - Excellence in quality data pipeline design, development, and optimization to create reliable, modular, secure data foundations for the organization's data delivery system from applications to analytics & ML - Proven ability to independently handle ambiguous project requirements and lead data initiatives from start to finish, while collaborating extensively with cross-functional, non-technical teams to inform and shape product development. Nice to Have Skills : - 5 years of experience designing, building, and operating cloud-based, highly available, observable, and scalable data platforms utilizing large, diverse data sets in production to meet ambiguous business needs - Relevant industry certifications in a variety of Data Architecture services (SnowPro Advanced Architect, Azure Solutions Architect Expert, AWS Solutions Architect / Database, Databricks Data Engineer / Spark / Platform etc.) - Experience with MLOps and/or developing and maintaining machine learning models and infrastructure - Experience with data visualization tools and analytics technologies (Looker, Tableau, etc.) - Degree in Computer Science, Engineering, or related field For this role, candidates need to work in the PST time zone (02:30 PM - 11:30 PM) and Work from the Office (3 Days from the office and 2 Days from Home) (Noida). (ref:hirist.tech)

Location: noida, IN

Posted Date: 11/28/2024