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Utilize threat intelligence and contextual data to enhance vulnerability prioritization. Our client in the public sector is looking for a Data Analyst focused on Vulnerability Assessments in their Cyber Security department.
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Apex Systems is a global IT services provider and our staffing practice has an opening for a Technical Lead with experience with data migration projects, specifically upgrading from Informatica to Databricks to place at our client, a top Canadian Bank.
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Extensive experience as a data scientist. Exposure to natural language processing, image processing techniques, and big data stacks like Hadoop or Apache Spark is highly desirable.
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We are looking for a highly skilled AWS Cloud Data Architect to join our FD Data team. AWS Cloud Data Architect. Hands-on experience with end-to-end data platform design, following Data Mesh and Data Fabric principles.
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3 - 4 years of proven experience building data pipelines using MSFT Azure tools and services (Azure Data Factory, Azure Synapse, Azure Blob, Azure Databricks, Azure SQL Server, Azure Data Warehouse, Azure Batch.
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Experience in building end to end data pipelines on AWS/Azure and/or Databricks. 5+ years in developing and optimizing Big Data applications using Java/Scala and Spark on Cloudera/HDP. Job Title: Java Big Data Engineer.
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Experience with data warehousing and big data technologies such as SQL Server, Snowflake, Spark, Databricks etc. The Data Specialist will report to the Data Analytics Manager; she/he will work closely with various investments and corporate teams on analytics to support decision making.
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Partner with internal stakeholders from multiple departments to identify opportunities for applying data engineering, machine learning and AI solutions for a new flu vaccine manufacturing facility.
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Strong expertise in big data technologies like Apache Spark and PySpark. Experience with data transformation tools like DBT. Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or a related field.
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Paymentus is seeking a Data Loss Prevention (DLP) Engineer with a foundational understanding of Privileged Access Management (PAM) and Identity and Access Management (IAM) to join our growing Cyber Security team.
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Key ResponsibilitiesDevelop and design case report formsDesign and develop study databases as per CRF template, DB and configuration specificationsCreate and implement custom data validation rules and checks as per Data Validation PlanPerforms User Acceptance Testing of databases and documentation of testingAuthor CRF completion guidelinesUpdates control CDM documents: DMP, DVP, CCG etc.
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Experience building data pipelines using Azure Data Factory and Databricks. Role: Python Data Engineer. ETL developers are responsible for designing and creating the data warehouse and all related extraction, transformation and load of data functions.
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Familiarity with Tools: Proficiency with data visualization tools (e.g., Tableau, Power BI) and data management platforms (e.g., Databricks, Spark). Knowledge of Data Security: Understanding of data protection regulations and practices to ensure data privacy and security.
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Proficiency in data analysis tools and software (e.g. SQL, Excel, R. Python)Hands-on experience with data visualization tools (e.g. Looker, Tableau, Power BI)Strong background in statistical analysis, data modeling, and predictive analytics.
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Data Pipelines: PySpark, Hudi, Iceberg, Airflow, EMR. Infrastructure: AWS Data Eng. Services (Glue, EMR, Athena etc.) Data Operations: Operational Excellence, monitoring, troubleshooting.
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Title: data scientist Company: Ancestry in Toronto, On, Canada
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