Technology Architect Senior

Toronto, ON, Canada

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Title: Technology Architect
Location: Toronto, ON (Hybrid)
Duration: 107 days + Possible extension

Data Pipeline Design and Construction: Ability to develop, construct, maintain, and manage data pipelines.
Programming Languages: Proficiency in languages such as Python, Java, or Scala.
Distributed Systems: Experience with technologies like Hadoop, Spark, or Kafka.
Data Transformation and Cleaning: Skills in transforming raw data into useful formats and ensuring data quality.
Performance Optimization: Ability to monitor and optimize the performance of data systems.
Data Architecture Design: Expertise in designing, constructing, maintaining, and troubleshooting data architectures.
Storage Solutions: Knowledge of various storage technologies and solutions, such as SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
Data Integration: Experience in integrating data from multiple sources, including external databases and APIs.
Scalability: Ability to design systems that can handle large-scale data efficiently.