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WFH flexibility! Up to 4 days/week! Global Environment! Competitive salary!
Requirements:
5+ years of experience in data engineering with a strong track record of designing and implementing complex data pipelines
Proven experience in building and scaling data solutions in cloud environments (AWS, Azure, or GCP)
Deep understanding of various database technologies (relational, NoSQL, data warehousing) and their optimal applications
Expertise in ETL tools and frameworks (e.g. Spark, Airflow, Kafka) for data processing and transformation
Strong knowledge of AI/ML principles and best practices for deploying and scaling machine learning models in production
Experience with containerization technologies (Docker, Kubernetes) for deploying and managing data applications
Excellent communication and collaboration skills with the ability to effectively communicate technical concepts to both technical and non-technical audiences
Passion for data and a commitment to building innovative solutions that deliver tangible business value
Nice to have:
Experience with data visualization tools (e.g. Tableau, Power BI)
Experience in Insurance Industry
Knowledge of data governance and compliance regulations (e.g. GDPR, HIPAA)