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Experience driving security, compliance, and disaster recovery in all aspects of a data platform Deep Experience with the following: Public cloud-native offerings (AWS, GCP, Azure) Kubernetes & Container-based hosting strategies SQL and NoSQL databases (Postgres, Cassandra, MongoDB, Neo4j, DynamoDB, etc.
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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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Utilization of embedding models and Vector DBs to transform and store natural language data. CGI is seeking a Sr. Data Scientist to join our Emerging Technology Practice. Data Narration and storytelling with demonstrated ability to present to executive audience.
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Working knowledge of Business Intelligence tools: Tableau and PowerBI. Experience with other Big Data tools such as Spark, Snowflake, and Kafka Experience creating and using APIs Preference for background in Financial Services in Wealth Management/Independent Broker Dealer/RIA EDUCATION AND EXPERIENCE: Bachelors/Masters in Computer Science, MIS/Information Management, Engineering or related field 3+ years experience in Data Engineering role.
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Knowledge and understanding of AWS data ecosystem like RDS, Data Migration Service, S3, Athena, Kinesis and others. Cloud Data Warehouse experience - Redshift/Snowflake. This is an ideal position if you are an experienced data engineer and you want to be part of a small, intensely skilled team, who feel total ownership of their work, and can’t imagine a day without learning & coding.
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Have experience with both proprietary and open-source big data technologies and platforms (Snowflake, Vertica, Hive, Spark, Presto, Airflow). Experience with streaming of data - Kafka or Kinesis and exposure to the AWS environment.
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Designing and building data models to support Data Science, Business Intelligence, and downstream data sets. Have a strong understanding of different data modeling methodologies (Kimball, Inmon, Data Vault.
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The Biotechnology Research Data Scientist within the Division of Research, Innovation and Economic Development of Tarleton exercises previous experience in whole genome and microbiome sequence to provide data analysis, data visualization, and fluency in programming languages.
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Participate in development and production support of non-ETL applications like Master Data Management (MDM), Qlik Sense (for BI Analytics), TIDAL (Enterprise Job Scheduler), etc. This developer will provide support in all aspects of data movement for a data warehouse environment (On-Prem to/from cloud) with a strong ETL focus on building and maintaining the Enterprise Operational Data Store (ODS) built on the Snowflake Data Cloud.
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Experience with reporting, data and dashboarding platforms - Microsoft Power BI, SAP BOBJ, Tableau, Alteryx, Snowflake. Dashboard Development, data analysis & Visualization: Lead the design and development of dashboards utilizing PowerBI that provide real-time insights into Treasury operations, supporting data-driven decision-making.
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Certification in cloud computing (e.g., AWS Certified Solutions Architect, Azure Data Engineer Associate, Google Cloud Certified - Professional Data Engineer). Title: Data Engineer - Remote.
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Experience in building ETL / data warehouse transformation processes Direct experience of building data pipelines using Azure Data Factory and Apache Spark (preferably Databricks.
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We're looking for a Data Engineer who will have the opportunity to work with data at the intersection of data centers operations, atmospheric data, GPU/ASIC telemetry, blockchain networks, and cryptocurrency markets.
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We’re looking for a Senior Data Engineer who will be responsible for designing, implementing, and maintaining data pipelines that integrate with upstream data sources, organizing data in our Snowflake data warehouse, and leveraging dbt to transform and model data for analytics and reporting purposes.
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Proficiency in data processing frameworks such as Azure Spark, or cloud-native data processing services (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse, Snowflake, CosmosDB.
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