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Experience with large scale enterprise applications using big data open-source solutions such as Spark, Kafka, Elastic Search / Solr and Hadoop, HBase- Experience or knowledge of basic programming and DB's technologies (SQL, Python, Cassandra, PostgreSQL, AWS Aurora, AWS RDS , MongoDB, Redis, Couchbase, Oracle, MySQL, Teradata.
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Required skills: credit/financial modelling; cloud computing environments; machine learning techniques/algorithms (classification, regression, clustering, feature engineering, decision trees, gradient boosting); statistical skills (distributions, statistical testing, regression, regulation); R; Python; Anaconda; TensorFlow; Scikit-learn; Keras; SQL; H2O.ai; Redshift.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Expertise in R or Python Knowledge in multiple of the following programming languages: R, Python, Stata, SAS, SQL Experience in at least one of the following areas: natural language processing, GIS, and data visualization (especially interactive data visualization) SALARY AND BENEFITS: The pay range for this position is $88,000 – $157,000.
$88,000 - $157,000 a day (equity)ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Some Technologies We UseProgramming languages: TypeScript, SQL, Python, GoDatabases: SQL and no-SQL, Big QueryFrameworks, key libraries, and runtime: Angular, Node JS, AWS Chime, Free SwitchInfrastructure: Google Cloud, AWS, and on-premises serversProject management: Azure DevOps.
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Strong proficiency in MS Office suite, particularly Excel and PowerPoint Proficiency in R, SQL, Python, or similar languages preferred. Skills and experience that will lead to success: 8 + years of experience in an analytics-centric environment, preferably in property/casualty insurance, reinsurance, or consulting ACAS, FCAS or similar actuarial credential Financial modeling, consulting, reinsurance, or credit default analytics experience preferred.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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NET web applicationsExperience deploying cloud native components to Azure Kubernetes Service (AKS)Experience with provisioning Azure infrastructure using IAC (Infrastructure as Code)Experience with Azure DevOps and GitHub actionsKnowledge and experience writing Python scriptsKnowledge of SQL server deployments (DACPAC)Deep understanding of the Windows operating system.
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Experience in object detection and computer vision models such as YOLO, MMDetection, R-CNN, SSD, FPN, and RetinaNetExperience programming in languages such as Python, R, Scala, SQL, JavaScript, C/C.
Work from homeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience or knowledge of basic programming and DB's technologies (SQL, Python, Cassandra, PostgreSQL, AWS Aurora, AWS RDS , MongoDB, Redis, Couchbase, Oracle, MySQL, Teradata) - Familiarity with data warehousing platforms and data pipeline tools such as Redshift, Snowflake, SQL Server, etc.
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Strong SQL writing skills and conversant in Python, with experience working in NICE Actimize, LexisNexis Bridger or similar. As a Data Solutions and Validation Specialist, you will collaborate with various teams to validate and optimize existing surveillance systems for sanctions screening, fund based and crypto transaction monitoring, as well as equity, derivative, and virtual currency trading.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Hands-on experience building data warehouses and data marts with cloud databases such as Snowflake, Redshift, Oracle ADW, Azure SQL Server. Intermediate (3+ years) experience using building python based ETL using Pyspark on Databricks.
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Must Have Skills: DBT, Snowflake, SQL, Python. Hands-on expertise with SQL and SQL analytics. Understanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Bachelor’s degree in computer science, Engineering, IT, Management Information Systems, or a related discipline Experience in Python and SQL Experience in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON Experience in ETL concerning metadata management and data validation.
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Proficient with Data mining/programming tools (e.g.'SAS, SQL, R, Python) Database technologies (e.g. PostgreSQL, Redshift, Snowflake. Data mining/programming tools (e.g. SAS, SQL, R, Python.
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GCP Data engineer JD:Develop EL/ELT/ETL pipelines to make data available in BigQuery analytical data store from disparate batch, streaming data sources for the Business Intelligence and Analytics teamsWork with on-prem data sources (Hadoop, SQL Server), understand the data model, business rules behind the data and build data pipelines (with GCP, Informatica) for one or more business verticals.
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