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8+ Experience with data warehousing concepts and experience working with databases such as Teradata, Oracle, Snowflake and SQL Server. 10+ Experience with data warehousing concepts and experience working with databases such as Teradata, Oracle, Snowflake and SQL Server.
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Architect, Design and develop Data Governance platform using Informatica DG products Informatica EDC AXON, -Experience configuring Informatica Data Governance using EDC and Axon, including business glossaries, dashboards, policies, search, Axon Workflows.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake,Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
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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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Experience of using one/more scalable (MPP) relational databases such as Teradata, Netezza, Redshift, Snowflake and SQL data warehouse for advanced analytics. At least 5 years of experience in working as Data Architect for Enterprise DWH and BI project for both on prem and cloud with minimum of 3+ years of hands-on experience in working on Snowflake for DWH Development as Architect.
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As a AWS Data Architect,you will beresponsible for leading a team of data engineers in the development andmaintenance of scalable data pipelines and implementing solutions in graphdatabases and machine learning.
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In collaboration with the senior data solution architect, assist with pre-sales support. Collaborate with the Senior Data Solution Architect to translate client requirements into technical specifications.
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Certifications such as Dell EMC Proven Professional, Pure Storage Certified Architect, or equivalent are a plus. Proficiency in scripting and automation using languages such as PowerShell, Python, or Bash. Experience with data protection technologies, including backups, snapshots, replication, and disaster recovery.
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The Principal Document AI & Engineering Architect must have a demonstrated track record of delivering results in a matrixed environment with a focus on Data Engineering and architecture.
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Perform/manage relational database design, normalization, and T-SQL/stored procedures with SQL Server and generate reports using Microsoft SQL Reporting Services (SSRS), Ad-hoc reporting, and data migration/transformation using SSIS packages.
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3+ years of database systems like Hadoop, Teradata, Redshift, Oracle, MySQL, PostgreSQL, MongoDB, Neo4j, Cassandra. Build data pipelines to extract, transform, crunch and store data in various target systems.
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Architect and optimize Microsoft Exchange Online and SharePoint Online solutions, including compliance, data protection and eDiscovery components. · Proven experience working as a Cloud Engineer or Cloud Solutions Architect.
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Strong AWS and Snowflake Data Architect/Engineer with good experience of Deployment automation and DevOps in Snowflake and AWS eco system. AWS Snowflake Data Architect / Engineer with DevOps Skills.
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Should have in depth understanding on Data Warehousing, Master Data Management (MDM), Data Quality, Data Lineage, Data Modeling, Data Profiling and Data Policy and handled Data Governance programs.
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As our Enterprise Architect Analyst, you’ll play a pivotal role in architecting and implementing robust applications & data integrations across our organization. · Demonstrated experience with enterprise data integration technologies, ESB (WebMethods, Boomi, Oracle, IBM, Mulesoft, etc.
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teradata data architect jobs in Jersey City, NJ
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