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Derek Bang, the practice founder and inventor of the group’s flagship software product for net revenue reporting, Revenue Cycle Analytics (RCA) came to Crowe nearly 20 years ago with an idea for a strategic pursuit in the Healthcare Industry through his previous experience as a Healthcare Auditor at a Big 4 firm.
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Office of the Attorney General of Texas requires the services of 3 Data Scientist (Big Data Engineer) 2 , hereafter referred to as Candidate(s), who meets the general qualifications of Data Scientist (Big Data Engineer) 2, Data/Database Administration and the specifications outlined in this document for the Office of the Attorney General of Texas.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Proficiency in SQL and multiple programming languages for building data pipelines including Python, Scala, Spark, and Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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Stay up-to-date with emerging technologies and industry trends in cloud computing, big data processing, and data engineering. What you will likely bring:Strong experience in Microsoft Azure Proficiency in data processing frameworks such as Azure Spark, or cloud-native data processing services (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse, Snowflake, CosmosDB) Experience with data integration and ETL (Extract, Transform, Load) processes, including tools like cloud-native orchestration services.
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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
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Working knowledge of Business Intelligence tools: Tableau and PowerBI. Experience with other Big Data tools such as Spark, Snowflake, and Kafka Experience creating and using APIs Preference for background in Financial Services in Wealth Management/Independent Broker Dealer/RIA EDUCATION AND EXPERIENCE: Bachelors/Masters in Computer Science, MIS/Information Management, Engineering or related field 3+ years experience in Data Engineering role.
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Comfortable working with multi-TB cloud data warehouses (Snowflake*, Big Query, Redshift) Our current analytics toolkit consists of DOMO and dbt running on top of a Snowflake data warehouse.
$110,000 - $120,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience working with the analysis of big of data related to capital construction programs ensuring allocated work is completed/resources are fully utilizes in order to deliver against an agreed program of work.
$135,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
$75,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Big Data: Managing Hadoop clusters, troubleshooting, migrating Hadoop workloads, architecting solutions, ETL pipelines with Spark, Apache Beam, messaging systems like Pub/Sub, Kafka. Develop Data Pipelines: Design, implement, and maintain big data pipelines that drive critical business decisions.
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The Managing Director will lead the daily management and operations of Big Medium. Please list “Big Medium Managing Director Application - Last Name” in the subject line. Oversee and support staff to further strategic goals that support Big Medium’s overall mission as it relates to resource management.
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Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage.
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Experience with big data technologies (e.g., Ray, Kubernetes, Hadoop, Spark) and data warehousing solutions (e.g., Google Cloud and BigQuery). Strong knowledge of raster data and processing, such as OpenCV, Pillow, SIMD, BLAS.
$110,500 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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It is selected by and reports to the Manager of the Demography-GIS team in the Signal Detection, Visualization and Performance (SDVP) department within the Office of Data, Analytics, and Performance (DAP.
$6,073.83 - $8,173 a monthFull-timeExpandApply NowActive JobUpdated Yesterday
big data jobs Title: chain in Austin, Columbia, Missouri
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