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Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto/Trino, Athena, Spark, DBT. 3+ years of experience in Data Analytics & Science supporting anti-fraud, risk, trust & safety, or integrity problems.
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Experience with Spark, Data Bricks, Sage Maker, Flyte, Kafka, Airflow, Ice Berg, Big Data, Terraform, etc. Experience with big data technologies (Snowflake, Spark, Metadata Catalog, Looker.
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Specifically, this experience must be in writing Big Data data engineering jobs for large scale data integration in AWS. Prior experience in writing Machine Learning data pipeline using Spark programming language is an added advantage.
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Should have prior experience in working as a Data Warehouse/Big Data Architect. Should have worked on other big data frameworks such as MapReduce, HDFS, Hive/Impala, AWS Athena.
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Utilize Databricks for big data processing and streaming analytics. Experience with big data technologies, such as Apache Hadoop, Spark, Kafka, and others. Stay current with emerging trends and technologies in cloud computing, big data, and data engineering.
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Experience working with machine learning frameworks (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow) and distributed big-data tools (e.g. Spark) is a plus. Design and develop systems that support the creation of large scale, big-data driven, machine learning models integrated into our product.
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Leverage big data in support of an enterprise scale Medical Device Cybersecurity program spanning Risk Management, Cyber Digital Transformation, Threat Management, Network Security, End Point Security, IT Controls, Security Operations and Identity and Data Management.
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Experience in any big data technologies - Hadoop, EMR, Amazon Redshift, Azure CosmosDB, Azure Data Lake, AWS DynamoDB, or advanced analytics tools. The Drilling Analyst must be an expert in data visualization libraries, SSRS, embedded UI solutions, Power BI reporting, and SQL development being self-sufficient in writing queries to support visualizations.
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4+ years of experience in a technical sales or consulting capacity with enterprises, focusing on complex solution sales of mission-critical data systems (databases, data warehouses, big data systems, analytics, and/or machine learning.
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Working knowledge and experience with data platforms/storage/warehousing (e.g., Microsoft Fabric, Amazon AWS, Google Big Query, Snowflake, Domo, Microsoft Azure, Microsoft PowerAutomate.
$100,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Deep Technical Expertise: Candidates must possess at least 8-10 years of hands-on experience in technical consulting roles with a focus on big data technologies, data warehousing, and ETL/ELT solutions.
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Position Overview Vantage is looking for a Senior Project Controls Manager to support project controls functions globally as part of our end to-end data center development cycle. Provide overall leadership to architect and improve project controls system, processes and specifications to enable teams to leverage historical data, leverage predictive analytics, and support data-driven decision making.
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Position will bridge the gap between on premise, SQL-based Data Warehousing solution and future state Azure/Databricks Lakehouse architecture; learning and supporting the existing proprietary system while working with technical leaders to further develop plans to migrate to a cloud-based solution.
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Perform design, documentation, development, testing, installation and support of complex data ETL/ELT pipelines, using Azure Databricks and Snowflake. Experience building data pipelines using Azure Databricks and integrating with Snowflake.
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The Sr. Data Scientist - Big Data - Cyber will apply Data Science to solve enterprise Medical Device Cybersecurity, Network security, Attacks & Events. Data Scientist - Big Data - Cyber - ITmPowered Consulting.
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big data jobs Company: Presbyterian St Luke's Medical Center in Denver, FL, Canada
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