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Strong customer service skills, fielding technical questions and requests regularly, maintaining current status and notes in ticketing systems and generating regular status reportsETL support – should be well versed with creating, modifying and sustaining data transfer, bulk upload and data migration jobs using multiple data sources including MS SQL, Oracle, Snowflake, CSV etc.
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The successful candidate will have extensive (typically 10 years) of technical experience, along with a record of success in leading and facilitating technology transformations to cloud services such as Azure, AWS, and GCP. This person should also have proven experience working in an Agile Scrum environment with data engineering solutions like Snowflake, Databricks, and modern database solutions for cloud environments.
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Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake.
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Deploying and configuring tools to monitor and report on the performance of the Snowflake system. We are looking for experienced Data Engineers with knowledge of Snowflake platform. Optimizing the performance of Snowflake databases, including designing and implementing data structures and using indexes appropriately.
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Advanced Excel, PowerPoint, Tableau/Power BI, experience is required, Snowflake experience is preferred. Advanced Excel, PowerPoint, Tableau/Power BI, experience is required, Snowflake experience is preferred.
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Expertise in Snowflake data modelling, ELT using Snowflake SQL, implementing complex stored Procedures and standard DWH and ETL concepts. Certified in Snowflake. Expertise in Snowflake data modelling, ELT using Snowflake SQL, implementing complex stored Procedures and standard DWH and ETL concepts.
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Experience with large scale compute Snowflake, AWS and other cloud technologies. Python data frames and SQL Experience. Experience with large scale compute Snowflake, AWS and other cloud technologies.
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Experience With Snowflake, AWS, Or Other Cloud Technologies. Experience With Snowflake, AWS, Or Other Cloud Technologies. Background in Big Data Engineering and Advanced Data Analytics. Builds robust, testable programs for moving, transforming, and loading data using big data tools such as Spark.
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2+ years of hands-on experience in migrating MPP databases (Teradata, Oracle, Netezza) to Cloud data warehouse platforms like Snowflake, Big Query and Synapse. Ability to evaluate and plan migrations to Snowflake, Big Query, Synapse and Redshift.
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Maintain and enhance tables and views in the Snowflake data warehouse. Deploy machine learning and data mining solutions using Docker and AWS native services such as ECR and ECS. Experience fine-tuning, evaluating, and deploying Large Language Models (LLM) is a plus5+ years' experience working with common data science toolkits, such as R, Weka, Python/NumPy, MatLab, etc.
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Utilize technologies such as Python, Lambda, Airflow, Snowflake, REST API, AWS, and S3 to develop data infrastructure and pipelines. Experience with cloud-based data technologies such as Snowflake, AWS, Google Cloud, Azure, or Oracle.
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Configure, install, test, and maintain Power BI & Tableau application software for data sources like Snowflake, Postgres Oracle, SQL Server, etc., Maintain Power BI data gateway servers and DB instances/drivers.
$78,800 - $135,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago
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