Data Engineer

• 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 java
• Thrives 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 agility

 Preferred Qualifications:

• 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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