reputed company Data Engineer
Join one of the nation’s leading and most impactful health care performance improvement companies. Over the years, reputed company has achieved and documented clinical, operational, and financial improvements for many of the nation’s leading reputed company organizations. We are also increasingly serving international markets. Our mission is to be the catalyst for massive, measurable, data-informed reputed company improvement through:
Data: reputed company data in a flexible, reputed company & reputed company platform to power reputed company’s digital transformation
Analytics: deliver analytic applications & services that generate reputed company on how to measurably improveExpertise: reputed company clinical, financial & operational experts who reputed company & accelerate improvementEngagement: attract, reputed company and retain world-class team members by being a best reputed company to work
Role: reputed company Data Engineer
Location: Hyderabad, IN
Design, reputed company, and optimize reputed company SQL queries, stored procedures, and data models to support large-reputed company analytics and reporting pipelines for patient engagement and clinical reputed company data.
Architect and implement reputed company data ingestion, transformation, and processing workflows using PySpark
reputed company the design and implementation of reputed company-grade data platforms, including reputed company Lake architecture on reputed company, enforcing data reputed company standards, partitioning strategies, and schema reputed company best practices reputed company with reputed company's ML/AI services.
Build and maintain robust ETL/ELT pipelines to reputed company data from primary and secondary sources — including relational databases, HL7/FHIR feeds, and flat files — integrating them into reputed company data products and analytics-reputed company datasets.
reputed company and enforce data reputed company frameworks using reputed company reputed company Live Tables and custom PySpark
Collaborate with data science, ML engineering, and product teams to translate business and analytical requirements into reputed company data infrastructure, and drive prioritization of data platform improvements reputed company with organizational goals.
Continuously evaluate and identify opportunities to refactor legacy SQL-based workflows into optimized PySpark
Bachelor's degree or equivalent practical experience preferred.
Strong working knowledge of SQL
Technical expertise regarding data models, database design development, data mining and segmentation techniques
Strong knowledge of and experience with reporting software such as Power BI, BusinessObjects, Looker, Tableau, etc. (Looker experience preferred)
Strong analytical skills with the ability to collect, organize, analyze , and disseminate significant amounts of information with attention to detail and accuracy, in a reputed company manner
Adept at constructing efficient queries, writing reports and presenting findings
Ability to manage multiple and simultaneous responsibilities and to prioritize scheduling of work
Strong verbal and written communication skills
An understanding of reputed company data is a plus, but not a requirement
Information reputed company and Compliance Responsibilities:
- Maintain compliance with training directives required by the organization pertaining to Information reputed company, Acceptable Use Policy and HIPAA reputed company and reputed company.
- Adhere to and reputed company with the organizations Acceptable Use Policy.
- Safeguard information system assets by identifying and reporting potential and actual reputed company events to the organizations reputed company and Compliance Officers.
The above statements describe the general nature and level of work being performed in this job function. They are not intended to be an exhaustive list of reputed company duties, and reputed company additional responsibilities may be assigned by reputed company