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Strong knowledge of data management principles, including data integration, data quality, data governance, master data management, and data architecture. Experience with data visualization and reporting tools, such as Tableau, Power BI, or Spotfire.
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THE INTERVIEW IS TO BE HELD IN PERSON ONLY NO EXCEPTIONS. Develop and oversee a comprehensive data architecture, aligning with business goals and integrating technologies such as Azure, Databricks, and Palantir to craft a forward-looking data management and analytics landscape.
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Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc. MS, or PhD in Computer Science, Computational Mathematics, Applied Mathematics, Engineering, Data Science, Statistics or equivalent.
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One of the most commercially successful conversational AI companies in the world, Conversica is building the next generation of our artificial intelligence platform and we are looking for data science interns in the areas of natural language processing, natural language generation, and deep learning.
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Join our Americas Market Data team as a Market Data Procurement Manager based in our Houston or Philadelphia office, and become part of a global team that works closely with the business units and technology teams in providing support, analysis, advice and guidance as it relates to market data.
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Qualifications- Must have strong experience in Python, PySpark, Azure Data Lake Store, Azure Monitor, Databricks Workflows, and Databricks SQL.-Experience in the Life and Annuities Insurance domain is required.
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About you: You have a strong aptitude for querying data sets from heterogeneous sourcesboth structured such as SQL Server, MYSQL and Vertica and unstructured like Excel,CSV using simple and advanced SQL You have hands-on experience with Databricks (Spark), the AWS ecosystem including (S3, Athena, Glue, Lambda, IAM, EC2) You have hands-on experience in building large-scale distributed applications, including streaming and Batch pipelines and processing petabytes of data.
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CornerStone Technology Talent Services (TTS), in partnership with our client is looking for a Biomedical Data Analyst with database, programming, and data visualization experience (i.e. SAS, R, R-shiny, Tableau, etc), 4 or more years of pharmaceutical/biotech experience in drug development.
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Manager, Data Engineering. We're looking for a Data Analyst who will have the opportunity to work with data at the intersection of data centers operations, atmospheric data, ASIC telemetry, blockchain networks, and cryptocurrency markets.
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We are seeking a talented and experienced Data Operations Manager to join our team and lead the charge in optimizing our data operations, particularly in the migration from SQL Server to Snowflake, managing both onshore and offshore teams, and overseeing cloud operations with a focus on AI/ML. This position is expected to be a strong leader but to also be very hands on from a technical perspective.
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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.
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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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Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production. The Asset Management Quant Research Engineering team is looking for a Principal Quant Data Engineer who wishes to take on the challenge of building a world-class data operation.
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3+ years of experience with data applications and tools (Snowflake, Databricks, Spark, EMR, Presto, Datadog, DBT, etc.) We power the technology, data enablement, and convergent marketplaces required to ensure buyers and sellers can transact across all screens, across all data types, and all sales channels to ensure results for marketers.
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Building out data lake cloud infrastructure within solutions like AWS, Snowflake, Databricks, Cloudera, Google Cloud, Azure, etc. Experience with data analytics, visualization tools (e.g., Looker, Tableau, Power BI, Domo, etc.
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Title: data manager Company: Atlantic Research Group
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