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In addition, the candidate should also have some hands-on experience working with the Azure platform and primarily: Azure Data Warehouse / Synapse, Azure Data Factory, Azure Data Lake, Databricks and Azure Analysis Services.
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Minimum 5+ years of hands-on experience in data engineering Expertise in building data pipelines and ETL processes using DataBricks, dbt, and Python Extensive experience with PurView a plus.
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We leverage leading technology stacks like Microsoft Azure, AWS, Google Cloud, Microsoft Power BI, Anaplan, Qlik, Tableau, SAS, Cloudera, Redhat and many others - to match your business goals with optimum technology solutions for all your stakeholders.
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Should have executed atleast 2 Cloud based programs including Cloud Data Warehouses like Snowflake and Databricks on Azure. Should have led and executed complex programs on Data in both on-prem and cloud environments (Azure cloud is mandatory.
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Must have hands-on technical acumen with Google Cloud infrastructure and technologies including Google cloud architecture, Google data engineering, GCP solutions architecture, Azure solutions architecture, GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, etc.
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Hands-on experience configuring and implementing an enterprise integration architecture solution using OIC adapters (SOAP, REST, FTP, and other pre-built adapters) based on NFCU's data mapping requirement.
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Implement scalable and sustainable data engineering solutions using tools such as Databricks, Azure, Apache Spark, and Python. Tredence focuses on last mile delivery of insights into actions by uniting its strengths in business analytics, data science, and software engineering.
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Hands-on experience with cloud security (AWS, Azure, or Google Cloud) is preferred. Familiar with major vendors like but not limited to CrowdStrike, Cisco, PaloAlto, McAfee ePo,Azure Information security.
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1-2 years of hands-on experience with HR systems, preferably. Key Responsibilities:Administer and Maintain HRIS Workday : Ensure data quality and system efficiency. Teams: Guarantee data integrity.
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Experience with at least one of the following cloud providers: Amazon Web Services (AWS), Google Cloud Compute (GCP), or Microsoft Azure. As part of the Experimentation & User Experience team you'll be working on high throughput globally distributed systems, with areas including Stream Concurrency & Impression tracking, A/B Testing, Feature Flagging, and User Cohort Targeting, What You Will Do As a Principal Software Engineer, you'll: Be hands-on.
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Find, compile, organize, categorize, and verify case-critical data quickly across the full life cycle of the eDiscovery process – preservation, collection, processing, review and production.
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NET, Node.js); Databases (SQL, MySQL, SQL Server, Cloud-Managed Databases); Cloud (Amazon Web Services, Microsoft Azure, Google Cloud); DevOps (Jenkins, Packer, Azure DevOps, Circle CI, Travis.
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Cloud technology knowledge and experience, such as Terraform, TFE, AWS, Azure, GCS, OCI or OpenStack. Oracle, SQLServer, PostgreSQL, MySQL, Informix, Couchbase, CockroachDB, Yogabyte, ScyllaDB, MongoDB, Datastax, RDS, Aurora, Dynamo, Azure SQL, CosmoDB.
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We are seeking a seasoned automation engineer / process controls engineer with extensive and current hands-on experience in Automation and Controls Systems design, implementation, asset management, Cybersecurity, continuous improvement and leadership experience.
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Work as the liaison between Engineering, technology and procurement teams on development and optimization of product data across multiple systems / processes with focus on data quality, integrity and governance.
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hands on microsoft azure data processing jobs in Dallas, WA, Ohio
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