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Expertise in BigQuery query optimization and backend data preparation for integration with frontend tools such as Tableau and Power BI.Experience in data processing using Python scripting. Proficiency in GCP services, particularly BigQuery and Google Cloud Storage.
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Building and managing CI/CD (Continuous Integration/Continuous Delivery) workflows and complex system integration using DevOps scripts and frameworks/tools Gitlab, Jenkins, BitBucket, Nexus, CVS and AppviewX. Hands on experience in scripting languages (shell, python, groovy), Terraform modules/templates, CloudFormation(AWS) or other Public Cloud platforms, operating systems (Linux and windows), Configuration Management tools (Chef or Puppet), network fundamentals to build automation framework.
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Work with clients to design, develop, and deploy new architectures for machine learning & automation applications such as ELT functions, HPC/compute infrastructure, hybrid cloud solutions, database management, and optimization of DevOps procedures.
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Demonstrated experience in performing integrations with Marketing Platforms (e.g., Sales Force Marketing Cloud), Master Data Management (e.g., Informatica MDM) and middleware (MuleSoft, Kafka) Demonstrated experience in performing integrations with Marketing Platforms (e.g., Sales Force Marketing Cloud), Master Data Management (e.g., Informatica MDM) and middleware (MuleSoft, Kafka.
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Knowledge and proven use of contemporary data mining, cloud computing and data management tools including but not limited to Microsoft Azure, AWS Cloud, Google Cloud, hadoop, HDFS, mapr and spark.
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Experience designing and/or developing solutions with other planning and analytics technologies such as Oracle Hyperion, Cognos TM1, SAP, Anaplan, OneStream, Adaptive, Host Analytics, etc. We've got the deep industry experience, the functional insights, the data power, and the digital tech leadership to help our clients make important changes.
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As we continue to expand our impact in critical industries such as Oil & Gas, Metals & Mining, Wastewater Treatment, and Power Generation, we are seeking a highly skilled and passionate Chemical Engineer to join our diverse team.
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Experience with Google Cloud Services such as Streaming + Batch, Cloud Storage, Cloud Dataflow, Data Proc , DFunc, Big Query & Big Table. Experience working with both structured and unstructured data sources using cloud analytics (Cloudera , Hadoop etc.
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Strong experience in Python, SQL, statistical methods and model development in cloud environments. Serve as a key Subject Matter Expert in the implementation of new technology initiatives to enhance the Compliance data repositories, reporting, analytics, and overall program with a strong focus on AML/BSA compliance.
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Hands-on support of technology systems, inclusive of traditional Cisco Network Infrastructure, Cisco Meraki Infrastructure, Cisco Unified Communications System platform, Microsoft 365, Virtualization environment (on premises and cloud-based), backup/recovery and other key systems.
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Build capabilities in key technologies that enable tax professionals for client service delivery such as artificial intelligence (AI), Alteryx, Power BI, and more. Ability to learn and navigate technologies such as artificial intelligence (AI), Alteryx and Power BI.
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Primarily in civil design; including complex earthworks, mining (tailings, heap leach pad, waste rock stockpile design, reclamation), stormwater and surface-water controls, groundwater science, landfill design and remediation, and civil infrastructure in the power sector and water treatment facilities, as directed by the Team Leader, team members, and/or project engineer.
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Lead solution design leveraging DG tools, such as Informatica IDMC, Collibra, Alation, or open source and cloud-native capabilities (AWS, Azure, GCP). Our cloud -based platforms - Axtria DataMAx, Axtria SalesIQ, Axtria InsightsMAx, and Axtria CustomerIQ - enable customers to efficiently manage data, leverage data science to deliver insights for sales and marketing planning, and manage end-to-end commercial operations.
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Fantastic opportunity to learn and practice modern software development with modern technologies, including Azure Cloud computing, Data Lake and Databricks, Azure Service Bus, Azure Batch, etc., as well as CI/CD industry standard development circle.
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Experience with any combination of at least 3 technical disciplines, including the following: Cloud Security, Penetration Testing, Application Security, Mobile Security, Secure Development methodologies, Software Development and Coding.
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