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Experience scaling production systems running Big Data tools like Spark, Hadoop, Apache Druid, Looker. Experience with at least 3 of the technologies/tools mentioned here: HAProxy, Kafka, Big Data/ Hadoop, Presto, Spark, Airflow, Pinot, Druid, Opensearch, Gcp, Data Proc.
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5+ years working experience with key open source big-data projects as a contributor or committer including Apache Spark, Apache Flink, Trino, Apache Kafka, Apache Hive, Apache Arrow, Apache Hadoop, Delta Lake, Apache Iceberg.
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This role is W ONLY (NO CC per client requirements)MUST HAVE:-+ years of experience as a Business/Data Analyst working in Data Warehouse, Master Data Management-Strong SQL -Tableau OR Power BI-Data Governance -Knowledge of Government/Public Sector/Education organizations, hierarchies and structure is a BIG PLUS Responsibilities :The firm has an exciting career opportunities for a Data Analyst within the Data Strategy and Enablement group.
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Build components of large-scale data platform for real-time and batch processing, and own features of big data applications to fit evolving business needs. Software engineering in Big Data experience.
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Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Experience with financial data, bonus if in similar business domains, such as payment systems, credit cards, bank transfers, blockchains, etc.
$120,000 - $162,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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As the global leader in experience-centric operational analytics, Conviva has redefined big data analytics with our paradigm-shifting Time-State Analytics model. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets.
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Utilize Databricks for big data processing and streaming analytics. In this role, the successful candidate will be instrumental in driving GAM1's efforts to support cloud initiatives for the National Oceanic and Atmospheric Administration (NOAA) and National Environmental Satellite, Data, and Information Service (NESDIS) with a focus on architecting and provisioning enterprise-level Cloud services, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS.
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We are looking for adjunct faculty who can teach Graduate and Undergraduate courses in Information Systems and Technology (General IT, Software Development/Programming/Software Engineering Management, Data Management/Cloud Administration/Database, IT Project Management/Information Systems Management, Networking/Network Administration/Enterprise Network Management, Cybersecurity/Information Assurance/IT Security/Computer Security or Forensic Management.
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3 years of experience with specific technology domain areas (e.g., software development, systems engineering, infrastructure, security, networking, data & analytics) Lead the configuration and maintenance of the OneStream platform, including workflows, data sources, transformation rules, business rules, calculations, dashboards, data management sequences, and cube/master data.
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Production-level maintenance of Big Data solutions, including upgrades, updates, OS patching, troubleshooting hardware and software issues. This role involves applying software engineering principles to automate data infrastructure operations, encompassing the deployment of Azure Data Infrastructure and Services (Infrastructure-As-Code - IaC), administration of the enterprise data lake utilizing the Snowflake data platform, and managing security protocols.
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Big Data Technologies: Spark, Elasticsearch, Hadoop, Neo4j Geo-related mapping experience Who we are: Reinventing Geospatial, Inc. (RGi) is a fast-paced small business that has the environment and culture of a start-up, with the stability and benefits of a well-established firm.
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Architect and Innovate: Design and implement innovative and scalable software systems and applications that leverage machine learning, AI, and big data technologies. These systems will integrate machine learning, AI, and big data technologies, primarily using Java (Kotlin), Python, and CDK TypeScript.
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Ideally background in large dataset management, with familiarity with optimization software (GAMS), Python, and energy systems and/or weather data 3-5 years experience with experience with data mapping/ingestion/pipelines preferred experience with Azure Databricks, SQL, DBT, and DVC3-5 years of demonstrated experience working in technical environment where Agile and DevOps principles were applied.
$118,000 - $160,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Consult with data stewards, business process owners, subject matter experts, technical experts, end users and other stakeholders to gather information about the current and target state business process, data architecture, domain data models, tools and frameworks used for data capabilities, data sources, control features, data interfaces with other systems required.
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big data software business systems jobs Company: Amazon Web Services Aws
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