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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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Knowledge of data analysis tools and programming languages (e.g. Looker, Power BI, QuickSight, BigQuery, Azure Synapse, Python, R, or SQL) Cloud platform certification, e.g., AWS Certified Data Analytics – Specialty, Google Cloud Looker Business Analyst, or Microsoft Certified: Power BI Data Analyst Associate.
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Extensive experience implementing Data Warehouse (Star / Snow flake schemas) using SQL Server or equivalent, Big Data – HDFS, Elastic Search, ETL process development using IBM Infosphere or equivalent, Reusable FrameworksExperience with event-driven architecture and messaging frameworks (Pub/Sub, Kafka, RabbitMQ, etc.
$145,000 - $180,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Epocrates Engineering tech stack includes native iOS and Android apps, Java, AWS, Kafka, Knowledge Graph, SQL and non-SQL data store, React, TypeScript, Python, Vector Search DB, Docker and Kubernetes, a suite of in-house and third-party content publishing tools, A/B experiment design platform and a suite of commercial-advertising platform.
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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.
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Preferred QualificationsLarge Scale Cloud Data Lake/ Warehouse transformationAWS Cloud experience in Streaming, Batch Data ManagementRedshift or other large warehouse Management experienceAdvanced SQL and AnalyticsBI tools like tableau, QuicksightData Governance and Quality ControlsComputer language experience (Python, PySpark, and R)Monitoring and Alerting systems experience (AppDynamics, Splunk etc.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Drive all aspects of technical and data architecture, design, prototyping and implementation in support of both product needs as well as overall technology data strategy. Working experience with cloud infrastructure (Google Cloud Platform, AWS, Azure, etc.
$145,000 - $180,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience with database systems (e.g. SQL, NoSQL, vector, search) and data warehousing solutions (e.g. Snowflake, Redshift, BigQuery) Manage and optimize AWS cloud-based data infrastructure including storage, compute, and networking resources.
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Proficiency in Python, SQL, and AWS technologies. Familiarity with data integrations and ETL tools (Airflow, Spark, etc.) We're looking for an experienced Data Engineer to join our small team, revolutionizing how doctors treat their patients.
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Agile, SaFE, AWS PaaS (EC2, ELM, Autoscaling, Lambda, API-Gateway, CloudFormation), Azure PaaS (App Service, Service Fabric, Functions, Logic Apps, SQLDB, DocumentDB, SQL Data Warehouse, Table Storage, Redis Cache, AzureAD, Notification Hubs, Event Hubs, IoT Hub, Stream Analytics, Machine Learning, Service Bus, Search, Cloud Services, Application Insights, CDN, Media Services.
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Optomi, in partnership with a leading energy provider, is in search of a Data Privacy Analyst to assist the organization in implementing BigID to manage and identify sensitive customer data.
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Experience with databases such as NoSQL, MySQL, SQL Server, PostgreSQL, Elastic Search, Data Warehousing, OLAP, OLTP. The technology stack for this project includes React JS, Node JS, Java, AWS, and Snowflake.
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Key words to search in resume:- OSS/BSS, Tableau, AWS S3, MongoDB, Data Analyst Telecom Functional. Strong SQL skills and experience with data visualization tools (Tableau, Power BI, etc.
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Sizing, deployment, and delivery experience, preferred in 1 or more of the following technologies - Rancher/Docker/Kubernetes on VMware and multi-cloud (AWS/Azure), NoSQL, APIs, Big Data Technologies, NLP, MLP, graph, elastic search, RDBMS, SQL Server.
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SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act. Data Scientist.
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