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6+ years of experience in Data Integration, data analysis, analytics, or modeling. 5+ years of SQL (Oracle, SQL server or Teradata) experience, SQL, Oracle or Teradata (indicate which.
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Design, develop, implement, and support new and existing data integration jobs using Teradata Stored Procedures. Experience with Teradata and/or other MPP data warehouse platforms.
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Comcast’s Marketing Technologies group is seeking a Senior Data Engineer to join our Engagement Data platform team with 7+ years of experience with managing, gathering, and processing information related to everything from solution architecture, data architecture, service-oriented systems architecture, systems integration, and data governance.
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Oversee the data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis.
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Knowledge and exposures to Azure SQL Data Warehouse, Databricks or other cloud or on premises MPP data warehousing systems (SAP HANA, Teradata, Snowflake). The experience should be with requirements gathering, SQL, Data Integration tools such as Informatica PowerCenter, Microsoft SSIS, Azure ADF and Data Warehousing techniques.
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Working knowledge of multiple relational data warehouse platforms (e.g., Snowflake, Teradata, Oracle, DB2, etc. We provide architecture, implementation and operations support for large scale data migration and integration of on premise and cloud IT systems.
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This role required strong technical skills in platforms such as RDMBS, MPP Platforms (Teradata), Hadoop Datalake and Azure cloud with ability to design and develop end to end data integration pipelines.
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3+ years’ experience with analytics platforms and tools, such as Databricks, Snowflake, Teradata, Spark, Kafka. For numerous enterprise clients, we develop data connectors to streamline data flow from multiple sources to analytics platforms, such as Splunk, Databricks, Hadoop, or others.
$100,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 0 days ago - UpvoteDownvoteShare Job
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Knowledge and exposure to Azure SQL DataWarehouse, Databricks or other cloud or on-premises MPP data warehousing systems (SAP HANA, Teradata, Snowflake). Knowledge of Test Driven Development, Continuous Integration, Agile/Scrum.
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Designing, developing, implementing, and supporting new and existing data integration jobs using Teradata Stored Procedures. Providing accurate level of effort estimates for data integration development to management.
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Databricks (Delta lake, Notebooks, Pipelines, cluster management, Azure/AWS integration) Strong development experience in Spark, Py-Spark, Shell scripting, Teradata, Hive and Hadoop. Spark, Py-Spark, Shell scripting, Teradata, Hive and Hadoop.
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Collaborating with other team members to build the ideal database, data integration and business intelligence infrastructure and platforms. ● Extensive knowledge of data integration, data warehouse and BI techniques.
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The Project Manager should have a technical understanding of data integration and the variety of endpoints they will be working with. Teradata (data lake, moving it to cloud.
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Position requires 3 years of experience in the following: Migrating ETL processes from relational warehouse databases to Amazon Web Services (AWS) based solutions; Designing advanced SQL queries using Ab Initio, Teradata, Teradata SQL assistant, Unix, IBM Tivoli load scheduler, and Relational data-bases; AWS based solutions, including Snowflake and S3; Data integration tools including Unix, Linux, TWS/Control-M, or BI stack; Developing test scripts for unit and integration testing using Jira.
$102,690 - $142,500 a yearFull-timeExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
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Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, BigQuery. GCP Data Engineer.
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