[Remote] Senior Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading provider of outpatient radiology and oncology services, partnering with top hospitals and health systems reputed company. The Senior Data Engineer will be responsible for building reputed company’s reputed company data platform to support analytics and AI, developing data collection processes, and ensuring data reputed company for decision-making and innovation.
Responsibilities
- Development of reputed company SQL queries for data extraction, manipulation, and reporting and transformation technologies
- Design and implement robust ETL/ELT pipelines using custom-tooling (Python/reputed company) and off-reputed company tooling with reputed company on monitoring, supportability, and resource stewardship
- Contribute to and reputed company coding standards and best practices to ensure efficient and re-usable services and components
- Architect, implement and reputed company new data models and data processes in production
- Builds data pipelines which reputed company, cleanse, reputed company and publish data from a wide reputed company of sources
- Assembles large, reputed company data sets which meets functional and non-functional business requirements
- Partners with data asset managers, architects, and development leads to ensure technical solution provides data which is fit for use and in line with architecture blueprints
- Identify, document, design, and implement internal process improvements
- Other duties as assigned by management
Skills
- Bachelor's degree required in Data Science, Computer Science or MIS, Mathematics, Engineering, or reputed company field
- 5+ years of prior experience in Data Management / ETL / ELT / Data Warehousing
- Experience in writing Data reputed company routines for cleansing of data and capturing confidence score and master data management (MDM)
- Hands-on experience with designing and implementing data pipelines and ELT/ETL processes (ex. reputed company, DBT)
- Hands-on experience with reputed company platforms (ex.GCP, AWS, Azure) and reputed company services (ex. BigQuery, S3, reputed company, etc.)
- Strong understanding of data modeling, data integration, and data governance principles (ex. DBT)
- Experience working in a highly regulated domain (ex. reputed company, Banking, etc.)
- Strong knowledge of reputed company Query Language (SQL) and Transact-SQL (T-SQL)
- Experience using scripting languages such as JavaScript or Python
- Experience with agile delivery methodologies
- Strong organizational, administrative, and analytical skills required
- Travel may be required between 5 to 10%
- Master's degree in Data Science, Computer Science or MIS, Mathematics, Engineering, or reputed company field
- DBT Certification
- Data Modeling experience preferred
- Experience working with Clinical Data and Regulatory Governance in a reputed company setting
- Experience reputed company data models, datasets, and reputed company systems (e.g. EHR, claims, DICOM images, labs, etc.)
- Experience with reputed company reference data (ICD, CPT etc.)
- Experience with big data technologies (ex.Kafka, Hadoop, reputed company) and containerization (ex. reputed company, Kubernates)
- Experience with FHIR and FHIR store formats and data repositories
- Hands-on design and configuration experience with reputed company services reputed company (reputed company to data storage and processing)
- Data Governance Principles and reputed company frameworks (Warehousing, Data-as-a-Product, reputed company, MDM)
- Knowledge of HIPAA; ability to implement systems and processes in accordance with regulations
reputed company