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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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We are seeking a highly skilled and experienced Data Architect with expertise in Microsoft SQL Server and related technologies such as SSIS (SQL Server Integration Services), SSAS (SQL Server Analysis Services), and others.
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EPIC data integration with an Enterprise Data Warehouse is required. will oversee day-to-day activities related to EIM and Enterprise data integration with the client's.
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Experience with Messaging platforms like Kafka/Confluent, Streaming PlatformsExperience with evolving Data Warehousing and Cloud technologies like Snowflake, BigQuery, Synapse etc. The person will lead teams to curate data asset integration and key technology processes and provide hands-on support of data enablement for solution teams.
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A minimum of five years of ETS or Enterprise Performance Management (EPM) related experience with a professional services advisory firm or publicly traded company; experience leading and delivering full life cycle implementation projects related to ETS and/or EPM with software vendors such as Oracle and experience with Connected Planning, Comprehensive Financial Close, Enterprise Data Management and other Oracle Cloud products.
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As an Enterprise Data Engineering Supervisor, manage the daily activities of the team responsible for the designing, building, and maintaining the infrastructure that supports data storage and data pipelines including data acquisition, integration, and data warehousing.
$19.25 - $24 an hourFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Expert knowledge of LANs, WANs, VPNs, routers, firewalls, network protocols, and other security and network operations and monitoring, vulnerability analysis, PKI, data encryption, key management, data warehousing, and data mining capabilities.
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He/she should have prior knowledge of data integration, data warehousing, modeling, business intelligence, and data visualization / presentation concepts. Data Extraction / Data Integration.
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At AssistRx, we are search for a full-time Integration Engineer with the relevant professional qualifications and experience to work with us to design and build our data warehousing and analytics capabilities.
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Nice to haveExperience with SnowflakeExperience with dbtExperience with FivetranExperience with Python, C#, or Data Bricks. BenefitsSupportive, progressive, fast-paced environmentCompetitive pay structureMatching 401(k) with immediate vestingMedical, dental, vision, life, & short-term disability insuranceAssistRx, Inc. is proud to be an Equal Opportunity Employer.
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Strong understanding of real time data integration with tools like Snowpipe, Kafka, snowflake sink. · Experience with data warehousing platforms such as Snowflake, Redshift or similar.
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Utilize programming languages like Java, Pyspark, Python and Open Source RDBMS and NoSQL databases, and Cloud-based data warehousing services such as Redshift and Snowflake. Expertise in ETL/ELT, SQL, and cloud data integration tools (Azure Data Factory, AWS Glue, Informatica.
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2+ years experience with a strong proficiency with writing/reading SQLDevelop ETL routines that transfer data from various sources and loads into database platformsExperience with Azure Data Factory.
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Develop ETL routines that transfer data from various sources and loads into database platforms. Experience with Azure Data Factory. Experience with Python, C#, or Data Bricks. Experience with Snowflake.
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2 years of experience in the field of Data Warehousing and Business Intelligence with the following technologies: SQL Server Integration Services, SQL Server Reporting Services, TSQL, C.
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