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Data & Analytics (Traditional EDW, BI, Big data, Data Engineering, Data Management, Data Modernization, Data Insights) 3 + years of Azure experience Information Technology related degree US Citizenship Microsoft Azure Architect Certification.
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Preferred Qualifications:Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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SAIC is interested in hiring a Senior AWS DevOps Engineer for one of our programs supporting the FDA. SAIC supports the FDA and its scientists and medical reviewers in Scientific Computing which includes, technical and research aspects of bioinformatics, scientific software support,AI/ML, DevOps, and Big Data analytics.
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5+ years of experience with Microsoft Big Data solutions with experience in SQL Server (2017 or higher), Azure SQL technologies (Azure Data Lake Gen2, Azure Databricks, Azure Databricks Unity Catalog, Databricks API, Databricks Row-level security, Databricks error logging, Azure SQL Server, and Azure Analysis Services), and a broad experience with related tools (CDC, Columnstore Index, In-memory Table, SSAS Tabular, DAX, T-SQL, SSIS.
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Work with the Database Architect to define data management, data governance, and data quality assurance requirements to manage the entire data processing life cycle. This Engineer will have a strong Microsoft and Azure data background, defining high volume data processing pipelines in a multi-tenant environment, verifying data integrity and curating data for consumption by data warehouse, third-party data analytics tools and machine learning models.
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Work with the Product Managers, Database Architect or BI Architect to understand data pipeline and data life cycle processing requirements and patterns. You will be involved in the design and development efforts for our big data solutions including data lake, Business Intelligence Solutions, Machine Learning, Data Pipeline, and cloud-based data warehouse products.
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Experience with and understanding Data Warehouse implementations for Business Reporting (Snowflake) is a big plus. Lead Application Support Engineer role will be responsible for Level 3 technical support and development of applications within the IT Solutions Delivery department for the Repository and Derivatives Services (RDS) area.
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Good to have GCP Certification (Either GCP Data Engineer or GCP Cloud Architect) Databases including Big table, Cloud SQL, Cloud Spanner, Memory store, Data Analytics Data Flow, DataProc, Cloud Pub/Sub, Kubernetes, Docker, managing containers, container auto scaling and container security.
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One of the following certifications; AWS Certified Solutions Architect, AWS Certified DevOps Engineer, AWS Certified Data Analytics (some flexibility to obtain within four (4) months of starting position.
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At Cognizant Digital Engineering, a small multi-functional team comprised of a Product Manager, an Architect, Full-Stack Developers, UI/UX designers and Big Data analysts builds higher quality software faster siloed individuals working independently.
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Associate, AWS Certified Solutions Architect - Professional, AWS DevOps Engineer Professional, AWS Certified Solutions Architect-Associate. Any of the following Certifications will be accepted: Cloudera Certified Professional (CCP) Data Engineer, Elastic Certified Engineer, Elastic Certified Observability Engineer, Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), AWS Certified Developer.
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C#, design pattern, devops, maven, programming, senior software developer, senior software engineer, software architect. Nor will Cloud Big Data Technologies require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
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At Cognizant Digital Engineering, a small cross functional team comprised of a Product Manager, an Architect, Full-Stack Developers, UI/UX designers and Big Data analysts builds higher quality software faster siloed individuals working independently.
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Having experience in building big data pipelines using Azure Databricks using PySpark, Google DataProc using PySpark, Google DataFlow using Apache Beam is an additional advantage. c#, devops, java, lead, programming, project architect, senior.
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Provides support for highly distributed, massively parallel computation needs such as Hbase, Hadoop, /Acumulo, Big Table, Cassandra, Scality, et cetera. One (1) year experience working with products that support highly distributed, massively parallel computation needs such as Hbase, Hadoop, Acumulo, Big Table, Cassandra, Scality et cetera.
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