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6 months contract to startPhysical Presence: Hybrid - 3 days per week in office Description; Data Architect Must Haves - 7 – 10 years of experience as a Data Architect - SAP Hana - GCP Big Query - Extensive experience working on Data projects at an Architect level - Reporting experience - Extensive Data movement experience - ETL - Databases - SAP tools - Data centre migration to cloud experience Nice to haves - SAP SuccessFactors - Sybase IQ - Python.
ExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Hands-on experience with Big Data ecosystem tools (e.g. Hadoop, Hive, Spark, BigQuery) and object storage (e.g. blob, MinIO, GCS). Experience with telephony data (Avaya, Genesys) and WFM data (Verint, Aspect) an asset.
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Founded in 2010, Ascend Fundraising Solutions online and in-venue fundraising platform and solutions have been used by some of the world’s most notable non-profit organizations such as United Way, Vancouver Canucks Foundation, Canadian Olympic Foundation, Canadian Institute for the Blind, Kansas City Chiefs Foundation, Boston Red Sox Foundation, Big Brothers Big Sisters, Thunder Bay Regional Health Science Foundation, Arizona Humane Society, and many others.
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Experience with Cloud computing platforms and toolchains with big data analytics (e.g. Snowflake, DBT, Tableau Prep), with practical experience in integrating cloud services with conventional hosting/delivery models is considered an asset.
ExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Proficient with querying big data technologies (e.g. Snowflake, Presto, Hive, Hadoop) Experience developing adversary profiles groups based on Threat Intelligence data. Role : Detection Engineer (Software Security)Location: Toronto (Hybrid – Three days in a week )Hire Type : Full TimeJDAs a Senior Engineer, you will build distributed data processing solution and highly loaded database solutions for various businesses cases including reporting, product analytics, marketing optimization and financial reporting.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Strong proficiency in Python (rust is a plus)Extensive experience with relational databases (e.g., PostgreSQL, MySQL)Familiarity with emerging and big data technologies and frameworks (e.g., Apache Spark, DuckDb, Clickhouse, Hadoop.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Experience with: Java, Spring, Experience with big data tools: Hadoop, HDFS, ADLS, ADF, Spark, Kafka, Databricks, Dremio etc. Senior Java/Big Data Developer:Responsibilities: Create and maintain optimal data pipeline architecture.
ExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Extensive experience with AWS data tooling such as AWS Glue, EMR, Athena, Redshift, Lake Formation, Apache Spark, Apache Hive, Apache Airflow, S3, CloudWatch, and Lambda. Additionally, they should possess extensive AWS expertise, particularly in AWS data tooling such as AWS Glue, EMR, Athena, Redshift, Lake Formation, Apache Spark, Apache Hive, Apache Airflow, S3, CloudWatch, and Lambda.
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At least 5 years of experience in an IT consulting environment, a recent focus on AI and data analytics is considered a big assetMinimum of 5 years of experience in designing, executing, and supporting IT cloud solutions across various sectors.
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Our client is seeking a highly skilled and experienced Lead Data Engineer (12- Month Contract) with a strong background in Databricks and Snowflake. Develop scalable data pipelines and ETL processes using Databricks or Snowflake.
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Experience with TIBCO Spotfire and Netezza, including report migration and data integration. Excellent understanding of data visualization best practices and user experience design. Stay current with industry trends and best practices in Power BI, data visualization, and business intelligence.
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2+ years of experience in public cloud-managed services for Data and Analytics for data warehousing, data lakes, ETL services, machine learning or data governance and security.
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Our staffing practice has an opening for a Azure Integration Application Architect professional proficient in Azure Data engineering to be placed at our client, a Big Five Bank. Proven in-depth experience with ETL tools and storage services in Azure such as, Azure Data Factory, Azure Storage account\Data Lake, Azure Databricks, Synapse, Azure SQL DW and SQL etc.
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Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualization techniques. Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.
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Use of Python, Anaconda, Pandas, Jupyter and support of Developers working with a technology stack including Linux, Hadoop, Hive, Spark, and other big data technologies. Understand new Data sources for a range of (PCAF) Asset Classes – Residential Real Estate, Commercial Real Estate, Sovereign Debt, Project Finance, Listed Equity and Corporate Bonds, Business Loans and unlisted Equities.
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big data jobs Title: hadoop consultant Company: At T in Toronto, On, Canada
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