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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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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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Ability to obtain or currently hold one or more of the following certifications: SAS Certified Big Data Professional, SAS Certified Data Scientist, Certification of Professional Achievement in Data Sciences, Certified Analytics Professional, CFE, CIA, CISA, CPA, CAMS, or CRCM.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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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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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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Proficiency in SQL, Python, Scala, or Java. Experience with big data technologies (e.g., Spark, Hadoop, Kafka), MPP databases, and cloud infrastructure. Develop and oversee a comprehensive data architecture, aligning with business goals and integrating technologies such as Azure, Databricks, and Palantir to craft a forward-looking data management and analytics landscape.
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As a Mr. Cooper Group team member, you play a big role in making that dream possible. As a Mr. Cooper Group team member, you play a big role in making that dream possible. High school diploma or GED Mr. Cooper Group is an Equal Opportunity Employer.
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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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RDBMS, OpenTelemetry, Observability, Promscale, Technology, PostgreSQL, SQL, Data Historian, Geospatial Data, Time-Series Data, Databases, IoT, Sensor Data, Metrics, Developer Community, Software Development, Open Source, Software, and Data Management.
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At least 3 years of experience managing Cloud Data Warehouse database technologies, such as AWS Redshift, Snowflake, Databricks or similar. Design, configure, and manage Data Warehouse Database Systems on Cloud (AWS Redshift, EMR HBase and Snowflake.
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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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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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Perform hands-on rack and stack of data center equipment and structured cabling installation. At least one year of hands-on server and network gear installation and move experience including performing network patching (copper and fiber cabling) within a data center.
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Develop and maintain documentation, standards, and best practices for data ingestion, processing, and storage using Databricks and Snowflake. Hand-on experience with Databricks for data ingestion, processing, and analytics, including Spark programming using Python.
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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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big data jobs Title: big data Company: Unitedhealth Group in Coppell, TX
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