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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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Would be preferred to have executed end to end implementation/migration of a Data Warehouse and Big Data (Hadoop) project from on prem to GCP (using Google BigQuery, DataFlow, DataProc etc.
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Big Data/Real Time Analytics experience & Data warehouse/Data mining experience. Bachelor's or master's in data science, computer science, operations research, statistics, actuarial mathematics, applied mathematics, or a related quantitative field.
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4+ years of SQL experience working in OLTP, Data Warehouse and Big Data databases. Big Data Experience a plus (Hadoop, MongoDB, Exadata) ssist in keeping documentation up to date as it relates to Data Standardization definitions, Data Dictionary and Data Lineage.
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Solve big data engineering problems. Help design the best backend data warehouse platform to support the capacity and performance. Help in the design and build of the data platform over Big Data technologies.
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Applying knowledge and relevant work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development tools (tools: IICS/AWS Glue/Matillion/Abinitio SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse.
$202,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with data warehouse and business intelligence concepts. We focus on providing delivery, staffing, and supported services such as enterprise integration/implementations including, but not limited to, CRM, EAM, ERP, PMO, and QA. We service clients in SLED (state/local gov't & education), financial services, fortune, public utility, as well as regularly partnering with Big 4 SI partners.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc, Airflow.
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4+ years of experience with Big Data technologies including Spark/Databricks, Hadoop, and varying types of Azure Storage. 2+ years of experience in data warehouse; preferably with Snowflake and other Lake House platforms.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Senior Data Analyst | SQL | Data Warehouse | ETL | Data Governance | Big Data | Data Analysis | Utility Industry | Hybrid Work. 8+ years of SQL experience working in OLTP, Data Warehouse, and Big Data databases.
$80 an hourFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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An experienced Solutions Architect well versed in designing & modernizing big data architectures on Google Cloud Platform (GCP). GCP Data & Analytics Solution Architect with 12+ years of experience in Data Analytics and Big Data.
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Primary responsibilities of the Senior Data Analyst include supporting and analyzing data anomalies for multiple environments including but not limited to Data Warehouse, ODS, Data Replication/ETL Data Management initiatives.
$75 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Guide clients in setting up and execution of the roadmap and vision for enterprise data warehouse, big data, BI & analytics, and data management. Experience with RDBMS, Data warehouse/Data Lake platforms like Oracle, Teradata, Snowflake, BI and ETL tools DataStage, Tableau.
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Responsible for design, development, implementation, operation improvement and debug BI & Big Data Analytics environments on premise or on Google Cloud Management Platform. Manage and design Data Security Solution (Encryption/ Access Control/Storage Management) and ensure legal data privacy compliance i.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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7+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience. As a Data Engineering Manager in WWSNA, you will be responsible for managing one of the world's largest and most complex data warehouse environments, all while navigating a high level of ambiguity.
$264,500 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago
big data warehouse jobs in Irving, TX
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