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Experience with modern columnar data warehouses such as Snowflake, Redshift, BigQuery. Corvus is seeking a Senior Data Engineer who will work alongside Product, Data Science and Engineering to build out and sustain a modern data platform that serves data analytics as a product to our internal stakeholders - Underwriting, Actuary, Sales, Claims, and Finance.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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A modern productivity toolset to get work done: Slack, Miro, Loom, Lucid, Google Docs, Atlassian and more. Strong familiarity with data structures, algorithms and design patterns. We celebrate our wins with opportunities to attend Lakers, Knicks, Anaheim Ducks, Anaheim Angels and NY Rangers games.
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Full Time] Software Engineer - Data Storage at Modern Treasury (United States) | BEAMSTART Jobs Software Engineer - Data Storage Modern Treasury United States. In this role, you will be the architect of the data storage layer for several of Modern Treasury's products such as payments and ledgers.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with at least one modern Big Data (e.g., Hbase), ETL (e.g., Modern Technology Solutions, Inc. (MTSI) is a 100% employee-owned engineering services and solutions company that provides high-demand technical expertise in Digital Transformation, Modeling and Simulation, Rapid Capability Development, Test and Evaluation, Artificial Intelligence, Autonomy, Cybersecurity and Mission Assurance.
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Stay up to date on the latest trends and technologies in the modern data stack (Snowflake, Fivetran, dbt, etc. We are searching for a talented and experienced Modern Data Stack Data Engineer to join our growing team.
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Using modern data toolsets (ex: ERStudio, Soda, io, Databricks, Snowflake, DBT) Play key roles in large projects, as a senior data modeler, technical lead, data architect or related role.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Our modern Data Technology Stack consists primarily of Airflow, dbt, Postgresql, Superset, BigQuery, Python and SQL. DevOps: Experience with modern cloud and container tooling such as Docker, Kubernetes, Terraform, etc.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Keywords: Microsoft teams intune o365 Office 365 modern workplace IPT telephone collab collaboration voice voip system engineer architect IT systems azure mcse infrastructure IaaS, Sirius computer solutions new signature champion catapult solutions Dynamics Identity Management Security Systems Management MCTS, MCM, MCSA, MCSE #thetrevigroup.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains.
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Design, implement, and maintain data infrastructure using technologies such as Spark, Airflow, dbt, and Google Cloud Platform (GCP) services like Cloud Composer, Pub/Sub, and BigQuery and/or comparable AWS services.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices. Data Strategy and Governance. Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment.
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Identify data governance gaps and assess data governance maturity in a complex data environment. Ideal candidates may call themselves Data Architects, Data Engineers, Data Scientists, Analysts and Data Governance professionals.
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Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. Experience and knowledge of data integration tools and platforms.
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