Data Engineer - Data Pipeline (6-12 yrs)

Job Description :

- As a Data Engineer, you will lead the design, development, and management across investments to platform and data pipelines.

- You will identify, monitor, and lead initiatives to ensure our data platform remains scalable, reliable, and efficient in light of the evolving data requirements of our products and services.

- You will work closely with solution experts to design, iterate, and develop key pipelines to unlock new solution functionality, analytical insights, and machine-learning features.

- You will be adept in partnering with cross-functional partners and data users to translate needs into technical solutions and leading the technical scoping, implementation, and general execution of improvements to our solutions and platform.

- You will be data curious and excited to have an impact on the team and in the company and to improve the quality of healthcare operations.

Key Responsibilities :

- Spearheaded 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).