Senior Data Engineer (5-6 yrs)

Job Description :

As a Sr. 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.

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.

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.