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Required Skills:Description:We are looking for a Cloud Data Engineer, who will be responsible to plan, design, develop and maintain the data architecture, data models, data pipelines and standards for various Data Integration & Data Lake and Data Warehouse projects in the AWS Cloud.
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Qualifications· Advanced programming experience with at least two modern languages such as Java, Kotlin, Python or C#, including object-oriented and functional programming· Proven understanding of micro-services-oriented architecture, extensible REST APIs and open-source frameworks· Experience with Spring Boot and other Spring projects such as Spring Data, Spring Integration Spring MVC, Spring Cloud, etc.
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SSIS strongly preferredPython DBT, Mulesoft, Alation – good to havePrimary Responsibilities:Strong understanding or Snowflake on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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ETL Tools: Azure Data Factory (ADF), Azure Database migration service (DMS), ETL SQL server integration services (SSIS), SQL server reporting services (SSRS), ETL extract transformation and load, Business Intelligence (BI), BCP.
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As the Senior Enterprise Architect, you stand as a beacon of expertise across multiple domains, encompassing application architecture, data management, integration strategies, cybersecurity, cloud computing, distributed platforms, mobile technologies, and advanced analytics.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Finance transformation and accelerated close; sub-ledger/ledger redesign; management reporting enhancement; business intelligence/decision support; traded products/front/back office package implementation; data warehousing/enterprise data design and management; enterprise application integration; financial planning, budgeting and forecasting; business/merger Integration, reconciliation redesign or improvement.
$128,400 - $235,400 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Areas of emphasis include experience with design processes and projects, materials, lighting and color explorations, digital simulations, fabrication techniques, creative decision-making processes, building systems integration, and addressing qualities of the interiors interconnected to architecture, the built environment and urban strategies as they affect health, wellness, and community resilience.
$75,500 - $115,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Project budgeting, resource planning, allocation and capacity planning skills and experienceExperience with technology requirements for human service systems (e.g., business processing modeling, architecture, SDLC, interoperability, system integration, data management, security, etc.
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10+ years of experience including 3+ experience with big data systems, analytics, containerized microservices, serverless functions, and event-driven architecture. Thorough understanding/working knowledge of CI/CD systems using Jenkins and integration with source control systems like GitHub/GitLabExperience using industry-standard messaging systems like Kafka/RabbitMQStrong experience using NoSQL databases like MongoDB, CassandraExperience using spark and spark SQL.2+ years working directly with end customers to assess needs, identify solutions, and constructively resolve disagreements.
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The Platform design will include: ServiceNow design, Data model (CSDM) to support ITSM practice, Integration with key infrastructure and data feeds Data architecture for analytics & reporting Creation of Architectural Artifacts: Creates & maintains a detailed view of the current architecture, target state architecture and transitional architectural roadmaps.
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Knowledge of information access and delivery methods, analytics applications and tool portfolio, data sourcing and integration methods such as OLAP/ROLAP/HOLAP and an understanding of data warehousing/mining, ETL, EII, data cleansing, and architecture.
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Good understanding of system and data integration from several systems. Define the end-to-end architecture to leverage data assets from multiple data lakes. Good knowledge of AWS services like EC2, S3, Lambda, Glue, Athena, Kinesis data streams, Kinesis Firehose, etc.
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Design and implement robust migration strategies, ensuring seamless integration of data into SharePoint while maintaining data security and compliance. Minimum of 7 years’ experience in data migration, with a proven track record of successful Google Drive to SharePoint migrations.
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10+ years' experience performing data warehouse architecture development and management. 10+ years' experience developing SQL server databases, SQL server integration services, SQL server analysis services.
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Familiarity with, and desire to continue learning about, API architecture and data integration, to support partner and channel integrations. Collaborate with clients and Product and Engineering to assess integration needs and configurations.
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data integration architecture jobs in New York, NY
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