Design,develop, and maintain scalable data pipelines and systems to support thecollection, integration, and analysis of healthcare and enterprise data. Theprimary responsibilities of this role include designing and implementingefficient data pipelines, architecting robust data models, and adhering to datamanagement best practices. In this position, you will play a crucial part intransforming raw data into meaningful insights, through development of semanticdata layers, enabling data-driven decision-making across the organization. Theideal candidate will possess strong technical skills, a keen understanding ofdata architecture, and a passion for optimizing data processes. What you will do Design and implement scalable and efficient data pipelines to acquire, transform, and integrate data from various sources, such as electronic health records (EHR), medical devices, claims data, and back-office enterprise data Develop data ingestion processes, including data extraction, cleansing, and validation, ensuring data quality and integrity throughout the pipeline Collaborate with cross-functional teams, including subject matter experts, analysts, and engineers, to define data requirements and ensure data pipelines meet the needs of data-driven initiatives Design and implement data integration strategies to merge disparate datasets, enabling comprehensive and holistic analysis Implement data governance practices and ensure compliance with healthcare data standards, regulations (e.g., HIPAA), and security protocols Monitor and troubleshoot pipeline and data model performance, identifying and addressing bottlenecks, and ensuring optimal system performance and data availability Design and implement data models that align with domain requirements, ensuring efficient data storage, retrieval, and delivery Apply data modeling best practices and standards to ensure consistency, scalability, and reusability of data models Implement data quality checks and validation processes to ensure the accuracy, completeness, and consistency of healthcare data Develop and enforce data governance policies and procedures, including data lineage, architecture, and metadata management Collaborate with stakeholders to define data quality metrics and establish data quality improvement initiatives Document data engineering processes, methodologies, and data flows for knowledge sharing and future reference Stay up to date with emerging technologies, industry trends, and healthcare data standards to drive innovation and ensure compliance Who you are 4+ years strong programming skills in object-oriented languages such as Python Proficiency in SQL Hands on experience with data integration tools, ETL/ELT frameworks, and data warehousing concepts Hands on experience with data modeling and schema design, including concepts such as star schema, snowflake schema and data normalization Familiarity with healthcare data standards (e.g., HL7, FHIR), electronic health records (EHR), medical coding systems (e.g., ICD-10, SNOMED CT), and relevant healthcare regulations (e.g., HIPAA) Hands on experience with big data processing frameworks such as Apache Hadoop, Apache Spark, etc. Working knowledge of cloud computing platforms (e.g., AWS, Azure, GCP) and related services (e.g., DMS, S3, Redshift, BigQuery) Experience integrating heterogeneous data sources, aligning data models and mapping between different data schemas Understanding of metadata management principles and tools for capturing, storing, and managing metadata associated with data models and semantic data layers Ability to track the flow of data and its transformations across data models, ensuring transparency and traceability Understanding of data governance principles, data quality management, and data security best practices Strong problem-solving and analytical skills with the ability to work with complex datasets and data integration challenges Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams Education Bachelor's or Master's degree in computer science, information systems, or a relatedfield. Proven experience as a Data Engineer or similar role with a focus on healthcaredata. Soft Skills: Attention to detail. Good oral and written communication skills in English language. Or Proficient in English communication, both written and verbal. Dedicated self-starter with excellent people skills. Quick learner and a go-getter. Effective time and project management. Analytical thinker and a great team player. Strong leadership, interpersonal &problem-solving skills
