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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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Significant experience with, or deep understanding of, programming (Python, SQL) and big data (Scala, Spark) Proficient in dimensional modeling, ETL (including SSIS), reporting tools, data warehousing (Redshift & Snowflake), structured and unstructured data, relational databases (SQL Server & PostgreSQL), graph databases (Neo4J), and NoSQL databases (MongoDB & DynamoDB.
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Experience and proficiency with utilizing Databricks, Python, SQL, Aqua Data Studio and Alteryx. Ability to detect and mitigate red flags for potential financial crime, including money laundering, terrorism financing activities and fraud, as it appears in transactional data.
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Having experience in building big data pipelines using Azure Databricks using PySpark, Google DataProc using PySpark, Google DataFlow using Apache Beam is an additional advantage. Develop high performance and scalable solutions that extract, transform, and load big data.
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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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Skills: Data Management, Snowflake cloud warehouse, ETL pipelines in and out of data warehouse, Python and Snowflake SQL, scripts using Unix shell, Data Lineage Analysis, Data Profiling Mapping Integration, ETL Validation Cleansing Masking Sub setting.
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Developing ETL pipelines in and out of data warehouse using combination of Python and Snowflake SQL. Developing scripts using Unix shell to do Extract and Load data. Experience in creating and analyzing SQL and PL/SQL procedures for data integration.
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As a Mr. Cooper Group team member, you play a big role in making that dream possible. Discuss Mr. Cooper customer benefits like Paperless, Mobile App, Web and IVR. At Mr. Cooper Group, we embrace a relaxed and casual work environment that matches our attire.
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1 to 3 years of relevant Data Center Operations, Data Center Technician or Data Center Hardware Support is required. A good understanding data center operations and data center facilities.
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5+ years of industry experience working with Big Data Platforms architecture, scalability and performance. Experience with data movement and transformation capabilities (Azure Data Factory, Data Lake Analytics, Databricks, Stream Analytics, and Azure Functions.
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Ll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful services, to back-end Java based systems using the hottest techniques in Big Data. You.
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Experience in Data Lineage Analysis, Data Profiling Mapping Integration, ETL Validation Cleansing Masking Sub setting, Experience in creating and analysing SQL and PL/SQL procedures for data integration.
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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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Data analysis and technical interpretation of all flow cytometry data generated in the clinical flow cytometry laboratory. More than two years of experience required analyzing Flow Cytometry data of human samples.
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Utilize Google Cloud Platform (GCP) services and tools for data storage, processing, and machine learning model deployment, leveraging Google Cloud AI/ML services, BigQuery, Dataflow, and other GCP services to build scalable and efficient data science solutions.
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big data jobs Title: big data Company: Unitedhealth Group in Lewisville, TX
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