Big Data Analyst Jobs in Toronto
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Search Results - Big Data Analyst Jobs in Toronto
Tata Consultancy Services-Toronto
Engineering experience BS/MS/PhD in Computer Science, Math or related field
• Hands on experience working with big data tools/libraries and map reduce framework
• Proficient in computer science fundamentals including algorithm analysis and design...
Tata Consultancy Services-Toronto
simulation and contribute to performance tuning, improvements and load testing.
Required Skill Set:
What we absolutely need?
• Software Engineering experience BS/MS/PhD in Computer Science, Math or related field
• Hands on experience working with big data...
Apex Systems-Toronto
Databricks.
• Collaborate with BA/SME, analysts, and stakeholders to implement DW models and prep the data for advanced analytics.
• Integrate data from various sources, ensuring accuracy, quality, and reliability.
• Develop and maintain workflows...
Synechron-Toronto
employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.
Our challenge
We are seeking a skilled Big Data...
Apex Systems-Toronto
Databricks.
• Collaborate with BA/SME, analysts, and stakeholders to implement DW models and prep the data for advanced analytics.
• Integrate data from various sources, ensuring accuracy, quality, and reliability.
• Develop and maintain workflows...
Iris Software Inc.-Toronto
Location: Toronto, Canada
Position Description:
The Data & Analytics Senior Practitioner role is an opportunity to be part of the technology practices at Iris. The candidate will have the opportunity to collaborate with Client & Delivery Partners...
Eviden-Toronto
Must have Requirements :
1. 5 – 10years experience as a Data Analyst preferably in the Wealth Management (.i.e . Retail, Retirement, Institutional or General Accounts ) domain
• Over 3 years' experience working with Cloud data platform, Azure, AWS...
Direct IT Recruiting Inc., WBE Canada Certified-Toronto
NOTE: Hybrid Work Model, office located in Toronto. Work 2 days/week in office.
Status: 12-Month Contract, 8 hour work day, 40 hours/week
Work Experience: 3+ years data analyst, Python, SQL, Snowflake, Spark, Databricks, Power BI, Tableau, Azure...
Teranet Inc.-Toronto
spatial analysis, and tools like ArcGIS is an assetExperience working with technology and development teams and understand SDLC processKnowledge of Big Data Technologies: Hadoop, HDFS, Hive, HBase, Storm, Spark, Kafka, etc.
Nice to have: Experience...
Direct IT Recruiting Inc., WBE Canada Certified-Toronto
NOTE: Hybrid Work Model, office located in Toronto. Work 2 days/week in office.
Status: 12-Month Contract, 8 hour work day, 40 hours/week
Work Experience: 3+ years data analyst, Python, SQL, Snowflake, Spark, Databricks, Power BI, Tableau, Azure...
Teranet Inc.-Toronto
spatial analysis, and tools like ArcGIS is an assetExperience working with technology and development teams and understand SDLC processKnowledge of Big Data Technologies: Hadoop, HDFS, Hive, HBase, Storm, Spark, Kafka, etc.
Nice to have: Experience...
Recipe Unlimited Corporation-Toronto
preferably with a Masters - focused on Geography, GIS or related field of study. With strong aptitude for statistical and "big data" analytics
• 3-5 years of relevant work experience
• Expert knowledge of GIS software, such as QGIS, MapInfo, ArcGIS and Google...
Stacktics-Toronto
leading Cloud Infrastructure, Big Data Analytics and Cloud For Marketing products, solutions and services.
Generating net-new opportunities and successfully closing known product and services opportunities related to Marketing Technology, Data Analytics...
Stacktics-Toronto
leading Cloud Infrastructure, Big Data Analytics and Cloud For Marketing products, solutions and services.
In this role, you will be responsible for:
• Generating net-new opportunities and successfully closing known product and services opportunities...
Definity Financial Corporation-Toronto
such as databases and large-scale processing systems. They will work closely with data scientists and analysts to understand the organization's data needs and help design solutions.
Qualifications
Experience with big data technologies like Hadoop, Spark, or Kafka...
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