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Big Data Jobs in Toronto

1 - 15 of 125
1 - 15 of 125
Search Results - Big Data Jobs in Toronto
Cognizant-Toronto
We are looking for a highly skilled Java Big Data Developer who will play a pivotal role driving the Big Data initiatives using expertise in Apache Hadoop, Java and advanced Java technologies. The role involves working with Spark, Scala and Big Data...
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Genesys Cloud Services, Inc.-Toronto
Big Data Software Developer page is loaded Big Data Software Developer Apply locations Toronto, Canada Toronto (Flexible) Ontario, Canada time type Full time posted on Posted 13 Days Ago job requisition id JR107878 Genesys empowers organizations...
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appcast.io -
Cognizant-Toronto
We are looking for a highly skilled Big Data Java Developer who will play a pivotal role driving the Big Data initiatives using expertise in Apache Hadoop, Java and advanced Java technologies. The role involves working with Spark, Scala and Big...
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Royal Bank of Canada-Toronto
Job Summary Job Description WHAT IS THE OPPORTUNITY? We are seeking a highly skilled Big Data Automation Lead with 4-5+ years of experience to drive automation initiatives across our big data platforms. The ideal candidate will have a strong...
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rbc.com -
Cognizant-Toronto
We are looking for a highly skilled Big Data Java Developer who will play a pivotal role driving the Big Data initiatives using expertise in Apache Hadoop, Java and advanced Java technologies. The role involves working with Spark, Scala and Big Data...
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jobserve.com -
Tiger Analytics, LLC-Toronto
data lakes, modern data platforms, data fabric solutions, etc. using different Open Source, Big Data, and Cloud technologies on Microsoft Azure. Responsibilities:   1.  Design and build scalable & metadata-driven data ingestion pipelines (For Batch...
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appcast.io -
Compunnel Inc.-Toronto
in Data Model design.   3.  Expertise with Big data technologies and data bricks as well as BI and data warehousing development technologies.   4.  Strong Data Analysis skills   5.  Strong Data Modeling skills. Take ownership and do data modelling work...
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Ward Technology Talent-Toronto
effectiveness, and technological risks are all addressed in the data architecture; - Ensure solutions are documented and communicated effectively for their intended audiences; - Support redesign and optimize Data Pipeline based on AWS Big Data technologies...
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appcast.io -
Zynga-Toronto
Interested in building high performance systems that rely on big data and machine learning? Want to solve complex large scale technical problems using the latest technologies? Zynga is seeking a Principal Machine Learning Engineer to join the Platform...
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Stacktics-Toronto
The GCP Data Engineer (Google Cloud Platform) will play a key role at Stacktics, where we design, create, deploy, maintain and grow industry-leading Cloud Infrastructure, Big Data Analytics and Cloud For Marketing products, solutions and services...
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appcast.io -
RBC-Toronto
organizational and coordination skills, effectively manage tasks, collaborate with teams, and deliver clear, impactful solutions. Nice-to-have Master’s Degree in respective fields Experience with big data technologies – Hadoop (Pig, Hive), SQL databases...
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beBeefinancial-Toronto
of project tasks and milestones; follow proper escalation paths.  •  Look for opportunities for process improvement and automation. Requirements:  •  Experience with Big Data and NoSQL databases (Hadoop, HBase, Hive, Spark, and MongoDB).  •  Proficiency...
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Tek Tron IT-Toronto
standards. Required Skills Strong proficiency in Python/R and SQL. Hands-on experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Experience with big data tools and platforms like Spark, Hadoop, or Databricks. Solid understanding...
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Toronto
efficient data structures and algorithms for big data processing. Distributed Systems: Experience with distributed computing frameworks and parallel processing. Data Integration: Proficiency in integrating data from various sources and ensuring data...
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capgemini.com -
myGwork-Toronto
pipelines and systems Some experience with big data technologies such as Spark, Flink, Airflow and Kafka Excellent communication skills, both verbal and written, with the ability to communicate technical concepts to non-technical stakeholders Passionate...
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