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Perform data analysis using R, statistics and data analysis, predictive analytics using SAS, and big data analytics and computer programming. Performing data analysis using R, statistics and data analysis, predictive analytics using SAS and computer programming; 3.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
$150ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
$150Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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We are looking for a senior data solutions engineer with extensive experience in the big data and data warehouse ecosystems. In addition, be a key contributor in delivering critical business features with a passion for big data technologies.
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Experience with Azure Synapse, Databricks, ADLS Gen 2, Google Analytics, Firebase, Big Query, Event Hubs, Kafka, Salesforce, SAP, and CDP platforms. Data Evangelist: Promote data product adoption through training and webinars.
$130 - $140,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of data architecture, big data architectures, experience of building solutions on Azure, AWS, GCP, Multi-threaded data processing on CPU and GPU architectures. This role will work closely with Mars Wrigley and Mars, Inc. Sustainability Teams, Digital Technologies, Procurement, and Supply functions to map out our Sustainability data and systems landscape and consult on how to best move forward in partnership with other programs and initiatives.
$200Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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Experience with Big Data technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalablity tuning, or batch versus streaming.
$142,000 - $214,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Utilize ETL concepts to formulate and maintain workflows for Fin Ops data using Alteryx and SQL within SSMS and Big Query. Special Skills: Must have experience in each of the following: 1) Lead operations to automate and maintain ETL workflows for FinOps data using Alteryx and SQL and upload data on SSMS and Snowflake databases; 2) Utilize Looker BI Tool to model data and generate reports and analysis for stakeholders in the financial services industry; 3) Utilize Python to implement data modeling for generation of in-house marketing tools for demo and variable correlation.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
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Role accountabilities: Create and analyze project schedules using Primavera P6 for a portfolio of global Data Center program. Qualifications & Experience: Experience with the analysis of large volume 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 Deep scheduling experience related constructions project Strong technical skills related to software like: Primavera (P6), MS Projects, Programming, Dashboards, Excel , etc.
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Experience with Databricks or similar big data processing platforms is a strong plus. Experience with and understanding of Data Lakehouse Architecture, big data processing, and related technologies.
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Experience with disciplines such as: predictive modeling techniques (ex: random forests), scripting languages (ex: python), coding best practices (ex: version control), SQL (ex: Oracle, PL/SQL), and big data environments (ex: AWS, GCP, Azure, Hadoop.
$106,960 - $160,440 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Must have extensive hands on experience in designing, developing, and maintaining software solutions on Big Data platform such as Hadoop eco-system. Must have experience with developing Pig scripts/Hive QL, SQOOP, UDF for analyzing all semi-structured/unstructured/structured data flows.
$200Full-timeExpandApply NowActive JobUpdated Yesterday
big data jobs Title: data in Chicago, CT, Us
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