Data Engineer with Apache Iceberg experience. Hybrid role in Mississauga, ON requiring big data pipeline skills.
Responsibilities
Data Engineer role building and optimizing big data pipelines, architectures, and data sets using technologies like Apache Iceberg, Spark, Hadoop, and Flink.
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, or related quantitative field. Proven experience as Data Engineer. Strong proficiency in Python (with extensive pySpark), Java, or Scala. Expertise in Apache Spark, Hadoop HDFS, real-time stream processing with Apache Flink, data lake table formats (Apache Iceberg), relational SQL and NoSQL databases. Understanding of ETL/ELT processes, data warehousing, and data modeling. Cloud platform experience (AWS, Azure, GCP) is good to have.
AI Platform Engineer leading multidisciplinary teams building AI - powered applications and intelligent workflows at Valtech. Shape the future of experience through Data, AI, and emerging solutions.
Aarorn Technologies seeks a Datastage ETL contractor with 5+ years of experience for a hybrid role in Toronto. Must have IBM InfoSphere DataStage, SQL, Unix scripting, and scheduling skills.
Azure Databricks Developer needed for HR tech projects at a top financial client. Design ETL solutions, support data integrations, and modernize HR data platforms.
Senior Software Engineer, Data responsible for building data pipelines and maintaining infrastructure for analytics and ML. Collaborate with teams to optimize data systems at Narvar.
Data Architect leading conversations and decisions on data modeling at a global consulting firm specializing in Data & Analytics. Transforming complex processes into clear, reusable information models.
Senior Data Engineer at Supabase managing data pipelines from source to analysis. Collaborating with growth, finance, and product teams to drive business insights.
Associate Data Architect collaborating with stakeholders to design scalable data architecture for AXIS Capital. Maximizing profit through data - driven decision making and implementing effective data governance strategies.