Staff Data Engineer

WHAT YOU'LL DO:

• Leverage IMO’s terminology data to inform work, ensuring awareness of its critical role in IMO products.
• Analyze, enhance, and develop IMO products by directly interacting with code, data, and infrastructure.
• Work with large, complex data sets, applying technical skills and deep knowledge of terminology data to drive insights and improvements.
• Design, build, and optimize data infrastructure for ETL processes using SQL, AWS, and big data technologies, ensuring scalability, reliability, and efficiency.
• Automate and improve data workflows, reducing manual processes, optimizing performance, implementing orchestration frameworks, and enhancing data pipeline infrastructure.
• Develop and maintain data platform components for bulk, transactional, and streaming access, ensuring system scalability and cost-efficiency.
• Ensure data quality and integrity by maintaining schemas, improving data models, executing data management procedures, and promoting best practices.
• Develop and document quality source code
• Contribute to Agile development, fostering collaboration, accountability, and continuous improvement through testing, transparency, and adaptability.
• Provide mentorship and leadership, offering feedback and guiding colleagues to improve team capabilities.
• Deliver quality outputs through testing, transparency, inspection, and adaptation
• Take ownership and proactively anticipate impacts, implementing creative solutions to technical challenges and embracing innovative thinking.
• Collaborate cross-functionally with stakeholders to translate business needs into technical solutions, assist with data/infrastructure, and drive product innovation.
• Stay ahead of industry best practices, continuously developing skills and making data-driven decisions that guide the team.

WHAT YOU'LL NEED:

• Relevant Technical BA/BS degree + 7 years of experience OR 10+ years of relevant professional experience.
• Experienced engineer with a track record of building end-to-end data platforms, collaborating on architecture, and leading peers.
• Proficient developer in multiple languages, including Python, with the ability to quickly learn new ones.
• Expertise in SQL (complex queries, relational databases like PostgreSQL, and NoSQL databases like DynamoDB, MongoDB, Elasticsearch).
• Extensive big data experience, including Spark, Kafka, and optimizing data pipelines, architectures, and datasets.
• Strong background in data modeling, logical/physical database design, and metadata management.
• AWS expert with hands-on experience in EC2, EMR, RDS.
• Proficient in CI/CD development using Git, Terraform, and agile methodologies.
• Comfortable with stream-processing systems (Storm, Spark-Streaming) and workflow management tools (Azkaban, Luigi, Airflow).
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to guide teams through root cause analysis and process improvements.
• Experienced mentor and cross-departmental leader with strong communication skills.
• Enjoys challenges, explores new approaches, and is comfortable asking for help.
• Hands-on experience leveraging AI technologies to enhance efficiency and effectiveness.
• Exposure to knowledge graph technologies (Graph DB, OWL, SPARQL) is a plus.

PREFERRED EXPERIENCE:

• AWS Associate: Data Engineer, Solutions Architect (at least one strongly preferred)
• AWS Associate: Machine Learning Engineer (preferred, not required)
• AWS Foundational: AI Practitioner (preferred, not required)
• Hands-on with ETL & BI tools (Talend, Tableau, Looker).
• Deep understanding of data cataloging standards and their maintenance.
• Prior experience working with healthcare data.