Staff Data Engineer building pipelines, models, and infrastructure for exacare ai’s post - acute care AI platform. Turning healthcare data into reliable foundations for product, analytics, and ML workflows.
LP
Senior Data Engineer
Posted via LinkedIn Recruiter (not a company profile)
Posted 8 months ago
About the role
- Senior Data Engineer role in Mississauga, ON. Requires 6+ years experience with Azure, Databricks, Scala, Spark, and database design.
Responsibilities
- Senior Data Engineer role focused on big data analytics and data engineering. Responsibilities include working with Databricks platform, Spark framework (RDD/DataFrame/SQL), Azure cloud services (Data Lake Storage, Azure Data Factory), database design & development, and implementing CI/CD pipelines for automated deployments. Additional focus on AI/ML development using Python, Langchain, Azure OpenAI, Vector Databases, and RAG (Retrieval-Augmented Generation) techniques.
Requirements
- Bachelor’s or Master’s degree in Computer Science or related field. 6+ years of hands-on experience in software engineering/data engineering roles. Strong experience with Databricks platform for big data analytics. Proficient in Scala programming language; solid understanding of Spark framework (RDD/DataFrame/SQL). Hands-on experience working on Azure cloud services (e.g., Data Lake Storage, Azure Data Factory). Strong background in Database design & development; excellent SQL skills (T-SQL/PLSQL etc.). Understanding of CI/CD pipelines for automated deployments on cloud platforms. Experience working within Agile/Scrum methodologies. Advanced knowledge of Python for scripting, automation, and AI/ML development. Familiarity with Langchain for integrating and orchestrating large language model workflows. Hands-on experience with Azure OpenAI to leverage generative AI capabilities in applications. Understanding of Vector Databases for efficient storage and retrieval of high-dimensional data embeddings. Knowledge of RAG (Retrieval-Augmented Generation) techniques.
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