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Bachelor s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Senior Data Engineer (or closely related occupation) designing, developing, testing, and implementing Snow Scripts and Snowflake Tasks to enterprise analytics data lake platform.
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You have 8+ years of industry experience and proficiency in building distributed data pipelines for both batch and real-time (experience with Databricks, Spark, Hive, Iceberg, Kafka, Snowflake is helpful, but not strictly required.
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The Data and Presentation Specialist role provides substantial exposure to how GMO communicates with clients and prospects about our investment strategies. The Presentation and Data Specialist is responsible for the coordination and production of product and fund materials; and,providing input and requirements on new systems or technology enhancements related to these materials.
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Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and one (1) year of experience as a Senior Data Engineer (or closely related occupation) designing, developing, testing, and implementing Snow Scripts and Snowflake Tasks to enterprise analytics data lake platform.
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Understanding of data governance and metadata management tools that may be used in DoD projects, such as Collibra or Informatica Axon. Proficiency in data modeling tools such as Erwin Data Modeler, IBM Data Architect, or Oracle SQL Developer Data Modeler for creating and maintaining data models.
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Expert in Azure cloud computing, specializing in Azure data engineering stacks like ADF (Azure Data Factory), ADLS, Event Hubs, Snowflake, Databricks, streaming, Azure PowerShell, and Log Analytics.
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. Experience working with financial data sets like Factset and Bloomberg a plus.
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Expertise in core data engineering technologies Snowflake, Azure Data Factory, AWS Redshift or Databricks. As the premier data services provider specializing in Machine Learning and AI services for data and application modernization, we partner with the premier technology companies across the modern data platform like Snowflake, AWS, Azure, Fivetran, GCP and dbt to deliver cutting-edge services and solutions.
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Identify and assess trends that may impact the City’s population and demographics working with various data sources including the US Census Bureau’s databases (tabular and microdata). Process and visualize geospatial data using ArcGIS Pro and/or other geospatial software (e.g. QGIS or Python/R libraries), including geocoding, spatial joins, projections, spatial analysis, and basic cartography.
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Immuta was recognized as the Snowflake Data Security Partner of the Year in June 2023. - Faster access to Snowflake data and a 60x increase in data usage resulting in greater productivity.
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3 years of data engineering, data management, data transformation and data manipulation experience using Apache Spark, Hive and Hadoop; 3 years data analysis experience using Python, R, SQL and SAS.
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Participates in candidate interviews for data processing positions and provides feedback to Client Services Supervisor and/or Lab Operations Manager. Under direction of the Client Services Supervisor, the Data Processing Coordinator provides daily oversight of laboratory data processing services, ensuring efficient and high-quality specimen processing.
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The Operations Management team handles requests for new or changed access to services, chargeback reporting, contract administration, market data invoice processing and general inquiry handling for index and market data services.
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Designing the Data Pipeline using Databricks clusters with AWS platform and services like AWS S3, RDS. Solid understanding of Databricks fundamentals/architecture and have hands on experience in setting up Databricks cluster, working in Databricks modules (Data Engineering, ML and SQL warehouse.
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High familiarity with data platforms and applications like Databricks, Jupyter, Snowflake, Airflow, FiveTran, DBT. Proficiency in SQL and experience with data visualization tools like Tableau, Looker, or similar.
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data job Title: senior manager Company: Experian in Boston, MA
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