Resumen del rol

Senior Data Engineer

Requisitos y responsabilidades

Contenido del rol extraído en secciones para revisar más rápido.

Specific duties include, but are not limited to:

  • Development of complex SQL queries for data extraction, manipulation, and reporting and transformation technologies
  • Design and implement robust ETL/ELT pipelines using custom-tooling (Python/Google) and off-the shelf tooling with focus on monitoring, supportability, and resource stewardship.
  • Contribute to and leverage coding standards and best practices to ensure efficient and re-usable services and components.
  • Architect, implement and deploy new data models and data processes in production
  • Builds data pipelines which acquire, cleanse, transform and publish data from a wide variety of sources.
  • Assembles large, complex 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.

Position Requirements:

  • Bachelor’s degree required in Data Science, Computer Science or MIS, Mathematics, Engineering, or related field.
  • 5+ years of prior experience in Data Management / ETL / ELT / Data Warehousing.
  • Experience in writing Data Quality 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. Fivetran, DBT).
  • Hands-on experience with cloud platforms (ex.GCP, AWS, Azure) and related services (ex. BigQuery, S3, Snowflake, etc.).
  • Strong understanding of data modeling, data integration, and data governance principles (ex. DBT).
  • Experience working in a highly regulated domain (ex. Healthcare, Banking, etc.
  • Strong knowledge of Structured 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%.

Position Requirements:

  • Master's degree in Data Science, Computer Science or MIS, Mathematics, Engineering, or related field.
  • DBT Certification.
  • Data Modeling experience preferred.
  • Experience working with Clinical Data and Regulatory Governance in a Healthcare setting.
  • Experience Healthcare data models, datasets, and source systems (e.g. EHR, claims, DICOM images, labs, etc.).
  • Experience with healthcare reference data (ICD, CPT etc.).
  • Experience with big data technologies (ex.Kafka, Hadoop, Spark) and containerization (ex. Docker, Kubernates).
  • Experience with FHIR and FHIR store formats and data repositories.
  • Hands-on design and configuration experience with cloud services Google (related to data storage and processing).
  • Data Governance Principles and enterprise frameworks (Warehousing, Data-as-a-Product, MESH, MDM).
  • Knowledge of HIPAA; ability to implement systems and processes in accordance with regulations.
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FocoData EngineeringÁrea del rol
Señal de senioritySeniorNivel del candidato
StackAWS, Azure, DockerSkills principales
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