Senior Data Engineer

2 weeks ago

India Acentra Health Full time

About Acentra Health:


Acentra delivers a broad range of health information technology enterprise solutions and customizable products to a diverse base of state and federal agencies. We align, build, and manage innovative, high-quality, cost-effective solutions that help customers achieve their mission, enhance business performance, reduce costs, and improve the health for over 50 million Americans. With locations throughout the U.S. and in India, Acentra employs a world-class team of technologists, healthcare subject-matter experts and program managers, all of whom have experience with large scale mission-critical information technology implementations.

Innovation and commitment to our mission are core to our DNA. And through our shared values, we foster an environment of inclusion, empowerment, accountability, and fun.


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 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., S3, Redshift, BigQuery)
  • Experience integrating heterogeneous data sources, aligning data models and mapping between different data schemas
  • 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)
  • 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


Educational Qualifications


Bachelor's or Master's degree in computer science, information systems, or a related field.

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