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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings.
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Building and optimizing 'big data' data pipelines, architectures and data sets using AWS cloud services and SnowFlake. Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores using Hadoop, Spark, Kafka, etc.
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Experience must include two (2) years of experience in data mining and development of ETL processes; distributed data architectures and big data processing technologies such as Spark, EMR, Hadoop and Hive; and Realtime Frameworks, collection, and processing Realtime data using kinesis Data Streams, KCL, KDA and Firehoses.
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The laboratory focuses on using big data approaches to neuroimaging and genetics, using behavioral and non-invasive MRIs to examine brain-behavior relationships after stroke. Technical knowledge of neuroimaging and brain anatomy, experience with organizing, maintaining, and analyzing large brain imaging datasets, programming expertise with python, Bash and parallel computing, experience with Brain Imaging Data Standards (BIDS) and MRI—based neuroimaging software programs (e.g., FreeSurfer, ITKSna) and statistics/machine learning strongly preferred.
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Improve scalability and performance of the platform through integration with big data frameworks (Databricks, Snowflake, etc. Experience with data visualization tools and packages like matplotlib, Plotly, Tableau, Qlik, etc.
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A strong understanding of and passion forCloud, Industrial IoT/edge, Big Data, Digital Twin, AI, AR/VR, Predictive /Prescriptive Analytics, Unified Operations Centers, PI Historianand emerging enterprise technologies.
$150ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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In this role, you will help define and build the data tech stack including Snowflake, AWS Redshift, Databricks, Python, Scala, SQL, SparkSQL, Talend, Airflow, AWS Glue, Tableau, AWS Sagemaker. 3+ years experience working with cloud data warehouses such as Snowflake, AWS Redshift, Azure, BigQuery or similar.
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As our first Data Scientist, you will leverage data to drive insights and strategies that will propel Hang's platform to new heights. Data Strategy: Contribute to the development of data collection strategies to optimize statistical efficiency and data quality.
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Strong data visualization skills; and familiarity working with Domo, Tableau, or similar technologies. Experience in e-commerce and subscription businesses, billing cycles, and payment instrumentsExperience with Snowflake or similar DB, large data ETL, and advanced SQL.
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Familiarity with a Modern Data Stack (I.e., ETL tools like dbt, Airflow, Fivetran, and cloud data warehouses like BigQuery, Snowflake, Azure, or Redshift). Reporting to the CFO, you will own the entire business intelligence function: you will be the expert on company data and use that knowledge to answer questions, provide insight, and improve the business.
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3+ years of experience in a Data Analyst, Business Analyst, or similar role using SQL and/or Python/R/bash focused on product analytics or marketing analytics. Identify, analyze, and interpret trends in complex data sets and build dashboards or reports for executives and stakeholders to help inform and spur to action.
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Manage data transitions and platform migrations between SAP HANA/DataBricks, Tableau/PowerBI, and related ETL processes. Proficient in data platforms/systems (such as SQL, Databricks), ETL tools (such as Python, SnapLogic), process automation, and standardization.
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Proficiency with transforming and analyzing large scale data with modern cloud computing platforms (e.g.,SparkSQL, BigQuery, Snowflake, Databricks), with high proficiency with query languages like SQL.
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U.S. Data Security ("USDS") is a subsidary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe.
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Services (AWS), Microsoft Azure & Google Cloud Platform, Reporting tools such as Tableau, MS-Power BI & MicroStrategy, Big Data Technologies such as Python, Spark & Hive and other related products.
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big data jobs Company: Tyson Foods in Los Angeles, CA
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