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Data Architect
4 months ago
An ideal candidate would also have the following skills:
PREFERRED TO HAVE:
• Previous healthcare experience and domain knowledge
• Exposure/understanding DevOps best practice and CICD (i.e. Jenkins)
• Exposure/understanding of containerization (i.e. Kubernetes, Docker)
• Experience with Snowflake and hands-on query tuning/optimization.
• Experience with orchestrating pipelines using tools (i.e. Airflow, Azure Data Factory)
• Experience with REST API/Microservice development using Python
JOB RESPONSIBILITIES
MUST HAVE:
-- 10+ years of experience in:
• Technical solutioning and system architecture design
• Evaluation and Recommend of ETL tools
• Implementation of recommended ETL tools
• Strong in SQL and Python, with 3+ years hands-on coding experience with both
• Experience building automated big data pipelines
• Experience performing data analysis and data exploration
• Experience working in an agile delivery environment
• Strong critical thinking, communication, and problem solving skills
• Experience with big data frameworks (i.e. Hadoop and Spark)
• Experience with cloud-based platforms (i.e. Azure, GPC, AWS)
• Experience working in multi-developer environment, using version control (i.e. Git)
• Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions Kafka, Spark Streaming)
• Experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)
• Experience partnering cross-functionally with other technical teams (i.e. data ingestion, data science, operational systems) to align priorities and achieve deliverable outcomes
• Experience with setting coding standards, performing code reviews, and mentoring junior developers
• Experience overseeing project delivery by mentoring junior technical developers