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Experience with modern data platforms (Azure Synapse, Databricks, Redshift, Big Query, Snowflake). Utilize programming languages like Java, Pyspark, Python and Open Source RDBMS and NoSQL databases, and Cloud-based data warehousing services such as Redshift and Snowflake.
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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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Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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Leading implementation of client-specific requests, which could include tasks such as utilizing APIs to extract and store data in BigQuery, fulfilling specialized data requirements through Dataform pipelines, and addressing other customized requests as needed.
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Strong AWS and Snowflake Data Architect/Engineer with good experience of Deployment automation and DevOps in Snowflake and AWS eco system. Title: AWS Snowflake Data Architect / Engineer with DevOps.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time. To secure a legitimate work from home data entry position, expertise in that field isn't an absolute must.
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Advance the data strategy by supporting data governance and management, through policy documentation, data security, data privacy, and data quality initiatives. Discipline to follow best practices to protect data security and data privacy.
$67,000 - $85,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
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We are now looking for a Sr. Site Reliability Engineer (SRE), Data Science Platform. We are looking for an excellent Sr. Site Reliability Engineer with extensive data infrastructure experience for our data science platform supporting NVIDIA's cloud platform services.
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Build out the Looker data model for all production transportation reporting. An understanding of BI solutions best practices and common pitfalls from architectural design, data source, ingestion, storage, analysis and visualization.
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We are immediately hiring a remote Data Analyst III for our Supply Chain Solutions division. This will push the envelope of what is possible within the big data space; streaming live data into a data lake and experimenting with data in the data sandbox.
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Design and implement distributed data processing pipelines using Spark, Hive, Python, Airflow, and other tools and languages prevalent in the Hadoop ecosystem. As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client.
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Analytical ability - Ability to propose data-driven product specs/price, etc. We are seeking a highly motivated and data-driven individual to join our product team! Related: ecommerce, e-commerce, digital marketing, marketing assistant, marketing coordinator, marketing specialist, marketing analyst, product associate, product analyst, ecommerce specialist, ecommerce clerk, ecommerce coordinator, ecommerce merchandising, ecommerce assistant, ecommerce analyst, e-commerce analyst.
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Configured Microsoft Cloud App Security (MCAS) for customer cloud workload discovery, MCAS integrations with AWS, ServiceNow, Workday, Data loss prevention policies and integrated with AIP labels, Office 365 Advanced threat protection, Azure logs for AIP label analytics, and endpoint solutions for antivirus, antimalware, host-based intrusion prevention, and EDR.
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Experience with big data processing frameworks, such as Apache Spark, Hadoop, or Apache Kafka on Azure. Deep experience with Azure cloud services, such as Azure Data Lake Storage, Azure Data Factory, and Azure Databricks.
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Title: data entry Company: Data Entry Work in Olympia, WA
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