Data Engineer
2 weeks ago
Design, develop and operationalization of a reusable and modular data & analytics platform building upon Alcon's enterprise IT architecture that enables efficient, consistent, automated value generation from data.
Partner with data architects to develop technical architectures for the data and analytic products.Advise, consult, mentor and coach other data and analytic professionals on data standards and best practices for data governance, data management, and data quality assurance for Digital Health.
Participate in Backlog grooming, Spring Planning and effort estimation.Perform data modeling, data analysis and providing insights using various tools.
Evaluate, implement and deploy emerging tools and process for data engineering and analytics improve the productivity.
Foster a culture of creativity, collaboration, speed, innovation, and engineering excellence.
Bachelor's degree in computer science, data science, or a related technical discipline.2+ years of hands-on experience in data engineering, include developing ETL/ElT data pipeline, data platform/products and or data warehouse.1+ years of hands-on experience in developing data-intensive solutions on AWS, Azure, or GCP for analytics workloads.1+ years of experience in designing both ETL/ELT for batch processing and data streaming architectures for real-time or near real-time data ingestion and processing.1+ years of hands-on experience in two or more database technologies (e.g., MySQL, PostgreSQL, MongoDB) and data warehouses (e.g., Redshift, BigQuery, or Snowflake), as well as cloud-based data engineering technologies (e.g., Kafka, PubSub, Apache Airflow, Glue)2+ years of experience in programming in python, scala or javaThrives in dynamic, cross-functional team environments.
Possesses a team-first mindset, valuing diverse perspectives and contributing to a collaborative work culture.Approaches challenges with a positive and can-do attitude.
Willing to challenge the status quo, demonstrating ability to understand when and how to take appropriate risks to drive performance.
A passionate problem solver.High learning agilityPreferred Qualifications
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Experience in data privacy and data security-related regulatory requirements, such as HIPAA, GDPR, CCPA, FDA cybersecurity for medical devices, and related security frameworks (e.g., ISO, NIST, HITRUST, SOC II).Experience in various interoperability data standards in healthcare (e.g., HL7, FHIR, c-CDA, DICOM).
Experience in EMR and PACS integration-
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