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Big Data Jobs in Ontario

1 - 15 of 183
1 - 15 of 183
Search Results - Big Data Jobs in Ontario
Hays-Toronto
Job Title: Sr. Bigdata Developer Rate: 50-60 CAD/Hour Job Overview: We are seeking a highly skilled Sr. Bigdata Developer to join our team. As a Sr. Bigdata Developer, you will be responsible for developing and maintaining our big data...
Epsilon Solutions Ltd.-Toronto
Join to apply for the Big Data lead role at Epsilon Solutions Ltd. 3 months ago Be among the first 25 applicants Join to apply for the Big Data lead role at Epsilon Solutions Ltd. Save this job with your existing LinkedIn profile, or create...
Iris Software Inc.-Toronto
Iris's client, one of the world's largest financial institutions is looking to hire a Java Developer With Big Data / Spark for a long-term contract opportunity. Our client is one of the world's largest financial institutions, serving individual...
Caylent, Inc-Toronto
The Mission At Caylent, a Big Data Architect works as an integral part of a cross-functional delivery team to design and implement big data solutions on the AWS cloud for our customers. You will design and document the big data and NoSQL solutions...
Tata Consultancy Services-Toronto
skills.  •  Should have knowledge on Big data Data Ingestion tools such as SQOOP and KAFKA.  •  Should be aware of the components in Big Data ecosystem.  •  Should have worked on building projects using Eclipse IDE, Tectia Client, Oracle SQL Developer...
Nexus Systems Group Inc.-Toronto
Big Data Engineer Position Description: The Big Data Engineer will be a key member of the Field Services BI team.You will work closely with Hadoop Administrators, Data Scientists, and business stakeholders. Job Duties/Accountabilities: Maintain...
Finance Professionals Inc.-Toronto
modelling.  •  Provide the team expertise on data models such as star and snowflake schemas.  •  Proficiency in SQL is a must have. Candidate Requirements/Must Have Skills:  •  10+ years of experience in big data analysis, data engineering, or data...
Advancedtechsearch-Mississauga
field. Extensive experience in modern scripting languages including Python. Proven experience working with biomedical data including longitudinal health related data and clinical data. Experience in long term biomedical recording and data analysis, from...
Synechron-Toronto
Role: Java/Big Data Developer Toronto, ON (hybrid/3 days in a week) - In Person Interview  •  Must Have:  •  10+ years application development experience in Java and Spring Framework.  •  5+ years application development experience in Hadoop, Spark...
ProViso Staffing-Ontario
will be working with the international team and will get to travel internationally along with the exposure to learn big data cloud technologies. Typical Day in Role:  •  Support the definition of the International Wealth Management data hub strategy and roadmap...
Bank of Montreal-Toronto
for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams...
TripStack-Toronto
with business intelligence tools Experience with Real-Time OLAP platforms like Apache Druid Understanding of scalable software concepts and algorithms Solid mathematics background including statistics and linear algebra Familiarity with big data technologies...
Michael Page-Toronto
applications, and services across our platforms.  •  Configure, install, maintain and manage big data technologies including Hadoop, Hbase, Spark, Dremio, Kafka across multiple environments  •  Develop and maintain scalable and efficient automation solutions...
michaelpage.ca -
Canadian National Railway-Toronto
solutions build on Azure, GCP, others  •  Experience implementing Big Data, Pipelines and Data Warehouse Architectures o Like Hadoop, ADLS, Spark, DeltaLake o Tools like Sqoop, Flume, Kafka, Oozie, Solr, Avro  •  Experience with Event Driven Architecture...
Canadian National Railway-Toronto
solutions build on Azure, GCP, others  •  Experience implementing Big Data, Pipelines and Data Warehouse Architectures o Like Hadoop, ADLS, Spark, DeltaLake o Tools like Sqoop, Flume, Kafka, Oozie, Solr, Avro  •  Experience with Event Driven Architecture...
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