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Possess Data Warehousing principals and architecture patterns to help build reporting data marts in Oracle, Big Data platforms: Hadoop and Cloud data bases eg: Snowflake/Red Shift Experience and working knowledge in extracting data from traditional data warehouse, big data ecosystems and cloud data warehouses to produce critical data for business analyst executives and operational leaderships.
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Experience with Big Data Technologies (NoSQL databases, Hadoop, Hive, Hbase, Pig, Spark, Elasticsearch, Databricks, etc.) Experience with a breadth of Data Integration tools, Databases, Big Data Platforms, Cloud-based data platforms and Data Streaming technologies, Cloud Azure and GCP platforms.
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Building data processing pipelines to integrate large datasets from multiple sources and formats, in both streaming and batch mode; Designing and developing data pipelines from ingestion to consumption within big data architecture using Python, Java, SQL etc.
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Proficient in Python/R, PyTorch/TensorFlow, SQL, Big Data and cloud technologies. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Experience in Data Lineage Analysis, Data Profiling Mapping Integration, ETL Validation Cleansing Masking Sub setting, Profiling Archiving, Purging Virtualization, Metadata Management, Performing Unit Test, System integration test Support, UAT.
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Perform wellfield valve/vacuum adjustments, data collection and maintenance; interpret data. Collect and manage data entry from wellfield extraction and environmental monitoring locations.
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Perform Data Lineage Analysis, Data Profiling Mapping Integration, ETL Validation Cleansing Masking Sub setting, Profiling Archiving, Purging Virtualization, Metadata Management, Performing Unit Test, System integration test Support, UAT.
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Under general direction of the GIS Manager, the GIS Analyst develops, maintains and updates various data layers, and databases in the Town’s geographic information system, prepares maps and projects as directed.
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Oversee the maintenance and continuous operation of all building systems including fire/life safety, mechanical (HVAC, plumbing, controls) electrical (lighting, UPS, RPP, STS, PDU, generators, switchgear), cabling (data and voice, broad band), lighting and temperature controls systems, critical environments, light construction (painting, doors, locks), digital systems (fire alarm, duress, card access, radionics, CCTV), and Audio/Visual services.
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This nationwide mortgage industry leader has an immediate 9+ month contract opportunity for a Data Integration ETL Engineer/Developer with DataStage and Talend experience. 5+ Years of DataStage and Talend ETL and data integration experience.
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Develop Applications using Entity Framework DB first approach for Data Access layer for ASP.Net Web API’s by making use of LINQ and Lambda expressions to query the collection of objects. Work extensively in UAT and Production support team to resolve the production/UAT issue caused by data, UI code and backend Services.
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Experience in testing informatica MDM auto and manual match and merge data activities and data validation. Target for an MDM (master data management) project. Experience in working with business partners and data stewards for all MDM and data governance related activities.
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As a Mr. Cooper Group team member, you play a big role in making that dream possible. Knowledge of Fannie Mae, Freddie Mac, Veteran Affairs (VA), U.S, Department of Agriculture (USDA), Ginnie Mae, and FHA/HUD guidelines highly preferred.
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3+ years of experience with big data technologies. The data engineer will review the existing solution and design a unified solution to transfer the data to data lake and data warehouse.
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Storage : Azure SQL, CloudSQL, Azure Data Lake, Elastic Search, Oracle, SQL Server. Identify, drive, manage and engage with potential partnerships spanning technology, data, sales, and consulting companies.
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