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Hands on experience working with Talend or SSIS as an ELT tool with Snowflake and SQL server Data Integration. Experience in Data migration from RDMS to snowflake cloud Data warehouse.
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Data Migration, Integration, API’s development, Data Streaming ( Batch and continuous) and scheduling. Design and implement Data Migration and Data Integration across cloud and hybrid environments.
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Design and implement cloud-based solutions using Microsoft Fabric technology stack and Microsoft SQL Server, including Azure Synapse Data Engineering, Azure Data Factory, Synapse Data Science, Synapse Data Warehouse, Synapse Real-Time Analytics, Onelake, and Power BI, with a focus on data migration, movement, and transformation.
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Leverage Azure Hyperscale SQL Server knowledge to do performance tuning to have applications running at optimal levels to meet SLAs. Should have Snowflake knowledge to Leverage Snowflake’s Data Cloud and the latest advancements in data migration and customized solutions to build POCs and prototypes that demonstrate value to clients.
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Azure Cloud: Azure SQL Database, Azure Data Lake, Azure Data Factory (ADF), Azure SQL Data Warehouse, Azure Service Bus, Azure analysis service (AAS), Azure Blob storage, Azure Search, Azure App service, Redis cache using pipeline and SSIS, infrastructure as a service(IaaS), Database as a service (DBaaS), Data Migration service (DMS.
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Work with a team with respect to discovery, design and delivery of data models, data governance models, data migration plans, data warehouse design and reporting components of applications using GCP, Databricks and Microsoft tools.
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Experience in Data Migration from RDBMS to Redshift/Snowflake cloud data warehouse. Expertise in data modelling, ELT using Snowflake SQL, implementing complex stored Procedures and standard DWH and ETL/ELT concepts.
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Significant hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage (ADLS Gen2), Azure SQL, and other data sources. Analyze and define with product teams the data migration and data integration strategies.
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The Hartford's Global Specialty IT team is seeking a hands-on Senior Staff Data Engineer to enhance and support its Data assets on snowflake and SQL server platform. Experience in building the Snowflake SQL Data warehouse using the Virtual warehouses based on best practices.
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Designing and developing large scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker and Cloud IAM.
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Leveraging experience in database management, migration, and transformation to cloud native DBs like Cloud SQL, Spanner, AWS Aurora, AWS RDS, etc. Google Certified Cloud Architect, Google Certified Data Engineer, AWS Certified Solutions Architect, Azure Solutions Architect.
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X, PLSQL, SQL Tuning, Perl and Shell Scripting, strong understanding of Extract/Transform/Load (ETL) processes to support Data Conversion / Migration / Consolidation. Extensive experience in software development Oracle PLSQL Development, SQL*Loader, Oracle Export/Import , Unix Shell scripting.
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Experience loading and handling large volume of data. Strong data driven problem-solving abilities. Fidelity Capital Markets offers a suite of electronic brokerage products and execution services across multiple asset classes, including equities, fixed income, options, and FOREX, as well prime brokerage, securities lending, and municipal and bank issued brokered CD underwriting.
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Design and conceptualize raw data into data visualization and reports within our applications utilizing PowerBI, Tableau, Crystal Reports, and SQL Server Reporting Services (SSRS.
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Related experience in Snowflake administrationDatabase administration and data engineeringExperience using AWS servicesExtensive hands-on experience with Python,SQL and DBTSnowflake Pro certificationDeep knowledge of all Snowflake features, with a particular emphasis on advanced security measures (Data Masking, TriSecret Secure), data sharing, and application development.
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