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Experience in data and orchestration tools including some of dbt, Apache Airflow, Azure Data Factory. Experience in the use of automated or BDD, using some of Cucumber, JMeter, Webdriver IO or PactumJS Experience of using and implementing CI/CD pipelines using Jenkins and Azure DevOps Demonstrable experience of modern cloud technologies including Amazon Web Services and Microsoft Azure.
$142,140 a yearPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Implement advanced data governance strategies, including metadata management, data lineage tracking with tools like Open Lineage, and comprehensive data cataloging using Datahub.
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Experience with the SDLC lifecycle & knowledge of relevant tools(Including but not limited to Azure DevOps, Jenkins, git, GitHub, Gitlab, Atlassian products). Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture.
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At least 2 years of experience in big data technologies. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Working with Agile development methodologies and product tracking solutions such as Version Control Systems (e.g. Github), Issue Management Systems (e.g. JIRA, Azure DevOps etc.) Our team helps businesses develop content management technology that addresses architecture and governance frameworks and transforms data into insight and action.
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The ideal candidate must be hands-on and will have a strong background in data engineering, with proven experience in developing and deploying large-scale data solutions in a cloud environment, must be metrics-focused and obsessed with Cloud native and DevOps technologies.
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Advanced level proficiency with at least one ETL / Data Orchestration technology (Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion) Fundamental understanding of big data, open source, and data streaming concepts.
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The attorney will work on matters such as partnership and corporate governance disputes, real estate litigation, title insurance, professional liability, class action defense, and surety, fidelity, and construction disputes.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Demonstrating knowledge and success in the integration of CLM solutions such as Icertis, Agiloft, Coupa, Conga/Apttus, Docusign or Ariba, with other related systems utilizing REST APIs, Azure Service Bus or SFTP.
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This role is outside the courtroom and focuses on internal areas for ADF (corporate governance) such as: taxation, employment, data protection, real estate, legal ethics, risk management, contracts, etc.
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Flagging Issues: Identify and flag errors, inconsistencies, or suspicious activity in voter registration data collected from canvassing teams, ensuring high standards of data quality and compliance.
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It is changing the way Healthcare Marketing is done by leveraging latest cloud-native solutions, efficient big data pipelines, processes and technologies. with dependency mapping- Data analysis and data modeling- Strong experience in Python, SQL, shell scripting- Experience interacting with APIs, SFTP, Cloud Storage locations (eg.
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Deloitte Risk and Financial Advisory's Financial Services Industry (FSI) Risk, Data and Regulatory professionals help organizations identify the regulatory changes impacting their business and implement effective and efficient processes to manage regulatory, capital, liquidity and interest rate risks, respond to evolving regulatory environments and implement programs, measures, and tools to help clients with a specific focus on risk, data, and regulatory processes.
$207,763 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with BI/Visualization tools Knowledge of version control systems such as Git. Experience utilizing Agile methodology Knowledge of ITIL processes Strong communication, project management and organizational skills Basic understanding of Operating systems, networking concepts and application architecture patterns Ability to code with scripting languages such as Python, Bash, groovy etc., Knowledge of big data toolset: Hadoop, Spark, Kafka, Hive, sqoop etc.
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