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Technical Skills: Extensive hands-on experience with Fortinet products: FortiGate (firewalls and SD-WAN) FortiSwitch FortiAP FortiManager FortiAnalyzer Proficiency with other networking and security technologies: Palo Alto Networks Cisco Systems Aruba Networks Strong understanding of networking protocols, firewall policies, VPNs, IDS/IPS, and network segmentation.
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Must have hands on experience on COBOL DB2 MVS Utilities VSAM and JCL. Must have hands on experience on DB2. Working experience on various products and tools like TOPAZ/IDZ SORT SPUFI PLATINUM XPEDITER FILEAID CHANGEMAN FTP NDM.
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The role:SoFi’s Senior AI Specialist - GenAI, NLP (Banking/Financial Services) is a critical hands-on engineer position in SoFi’s growing independent risk organization focussed on applying data processing/reporting and practical artificial intelligence techniques to solve real world problems.
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We are seeking a hands-on and strategic Chief Financial Officer (CFO) to manage the financial health and long-term sustainability of the organization. Experience managing both strategic financial planning and hands-on financial operations, including journal entries, reconciliations, and reporting.
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Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform. Hands on experience designing, building, and optimizing data pipelines, architecture for large scale data warehousing projects.
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Hands-on experience with one or more of Python, R, MATLAB, and SQLDiversity & EEO Statements: At Santander, we value and respect differences in our workforce and strive to increase the diversity of our teams.
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Animation skills are a plus, and so is comfort being on-camera. The quoted salary range represents our good faith estimate as to what our ideal candidates are likely to expect, and we tailor our offers within the range based on the selected candidate's experience, industry knowledge, location, technical and communication skills, and other factors that may prove relevant during the interview process.
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Hands-on capability on Cloud platforms and migrating workloads from Data Center to Cloud Platforms. Etc Technology and hands-on exposure to Active Directory, Palo Alto Prisma, Advanced firewalls, virtual directory services, etc.
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P Position Summary Hands-on Working knowledge of Azure-native technology stack like Azure AD, Defender for cloud (CSPM) & Identity, PIM, Conditional Access, Defender for Identity, AIP, Azure Log Analytics, Azure Monitoring, Azure Key Vault, Hands-on Working knowledge of Microsoft 365 security suite (Defender for Endpoint, Information Protection, Purview, DLP, EOP, Intune (MDM/MAM) and Defender for cloud Apps.
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Hands-on experience with ETL/ELT tools (e.g., Informatica , DBT , Fivetran ) for data extraction, transformation, and loading. Required Skills & Qualifications : 5+ years of hands-on experience in data modeling , data architecture , and Snowflake development.
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5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) Hands-on experience with "productionalizing" Big Data applications (e.g. administration, configuration management, monitoring, debugging, and performance tuning.
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Hands-on knowledge and expertise in building and/or securing technology, including operating systems, databases, virtualization, cloud computing environments, and networks. 2+ years of hands-on JIRA experience.
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Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Snowflake, Redshift, BigQuery). If you are passionate about leveraging data to drive meaningful insights and have a proven track record in data engineering, analytics, and leadership we invite you to join us on this exciting journey.
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3+ years of hands-on experience as a quantitative developer developing financial models and software solutions. This is a hands-on development role where you will be 'embedded' within the quantitative research team and will partner with the investment teams on various projects including portfolio construction, risk management, and alpha research.
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Hands-on production experience with orchestration systems such as Airflow. Hands-on production environment experience with distributed processing systems such as Spark. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors.
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hands on jobs Title: data analyst Company: Dow in New York, NY
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