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Or relevant industry certification such as Microsoft Certified Solutions Developer (MCSD), AWS (Amazon Web Services) or GCP (Google Cloud Platform) Experience with tax technology applications (e.g. OneSource, Vertex, Avalara, Sovos /Taxware, Oracle Enterprise Business Tax.
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Develop custom Python Web Applications using CloudRun (e.g., Dash, Streamlit, PySpark, and Flask) to process the very large datasets flowing from connected vehicles on the Google Cloud Platform (GCP) in to Big Query (BQ) or Google Cloud Storage (GCS) and present tools to Driver Assistance Engineers.
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You will work on data extraction, data transformation, data loading into GCP & WebFocus Integration to support the Enterprise in the Data Factory on Google Cloud Platform (GCP). We’re seeking a WebFocus developer who has experience building data products on a cloud analytics platform.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Experience administering standard tool stack, including Jira, Google Workspace, Confluence, Zoom, Microsoft Office, Slack, and Crowdstrike. Knowledge, Skills & Abilities Experience designing, implementing, and supporting applications in Amazon Web Services (AWS) cloud, including traditional server applications and serverless services such as AWS Lambda, AWS Fargate, AWS SQS, and Amazon API Gateway.
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Essential Job Functions: Responsibilities: Design and implementation of complex cloud solutions using Microsoft Azure, focusing on integration with Databricks and Azure Data Factory. 7+ years of experience as a data engineer, with strong proficiency in Azure cloud services, Databricks, and Azure Data Factory 3+ years of experience with designing and implementing data solutions using Azure Cloud.
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Digital Enablement of Service Transformation using Big Data, Cloud, Augmented Reality, Artificial Intelligence, Chatbots etc. Support solution development with key technologies (Service Max, Zinier, IFS, ServiceNow, Syncron, Techsee, CareAR, PTC SLM, Windchill SIM, Inservice, Servigistics , JDA ,SAP SPM, Oracle etc.
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This role will join a team developing the next generation of autonomous driving solutions drawing on state of the art technologies including big data analytics, cloud, agile and automation, for solving business problems in the automotive and next-gen mobility industry.
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Experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Terraform, Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc, Cloud Build, Airflow, Cloud Composer etc.
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Preference candidate has experience working within known AdTech systems like audience management tools, measurement solutions, or working within industry-leading platforms, such as DV360, SA360, Campaign Manager, Google Ads, Facebook Business Manager, Amazon Ads, Yahoo Ads, Adobe Analytics, Audience Manager, Experience Cloud, and LiveRamp Connect.
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For both on-premise and cloud (ASW, Azure, etc.) for both on-premise and cloud (AWS and Azure)•Help design solutions for driving personalized engagement across the customer lifecycle. Responsibilities: •Set up infrastructure and architecture for DevOps tools such as Git, Jenkins, AppScan, Chef, Puppet, Ansible, Maven/Gradle, Docker, jfrog artifactory, bamboo, selenium, Cucumber, Nagios etc.
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We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart lab s etc to name a few.
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Familiar with operating systems: Windows, Linux/UNIX, OS/X. Familiar with databases and database tools: DB2, Oracle, MS SQL Server, TOAD. Strong command of cloud computing topics. Typescript Familiar with mainframe technologies (e.g. CICS COBOL, NATURAL / ADABAS, VMS, etc.
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Cloud ( Azure preferred) with Databricks is required. Data Operations Analyst- Talend / SQL / Databricks. Cloud ( Azure preferred) with Databricks is required. Act as translator between business and technical community interpreting data domain needs and translating them into more technical quality assessment rules for developers (and vice-versa.
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Lead data analysis required to troubleshoot data related technical issues and resolution Deploy and automate Machine Learning Models in a data environment (e.g., SQL server, Cloud platform, on-premise servers and machines) and include workflow orchestration, scheduling and implementing advanced data processing and data delivery tools like docker for containerization.
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The current research areas in the department include artificial intelligence, computational game theory, computer graphics, cybersecurity, data privacy, data science/management, energy-efficient systems, game design, graphical models, machine learning, multimedia, natural language processing, networking, service and cloud computing, software engineering, and health informatics.
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bigquery google cloud jobs Company: Dechen Consulting Group Inc in Dearborn, MI
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