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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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Quien es ustedHaber disenado y construido previamente pipelines de datos complejos, altamente escalables/fiables, utilizando el ecosistema Big Data (Hadoop/Hive/Spark/Presto/Airflow/Kinesis o equivalentes.
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Fluent 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 - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting.
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In addition, you will:Design, implement, and take ownership of mission-critical ETL pipelinesContribute to the architecture and development of near real-time/batch data productsWork closely with business stakeholders, data analysts, data scientists, and machine learning engineers to productionalize analytic solutionsEnable product engineering teams to onboard their data using data mesh principles and architecture.
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Big Data, Analytics and Insights, Business Intelligence (BI), Self Service BI, BI Governance, Banking and Financial Services, tableau, alteryx, aws, Data Visualization, Data Strategy, Data Science, Big Data Analytics, Augmented Analytics, Cloud , Data Management, Data Monetization, Digital Transformation, Starburst, Snowflake, and Gong.
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Provide technical leadership in a post-sales capacity to guide strategic customers as they design and implement big data projects, ranging from architectural design to data engineering to model deployment.
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Hence the concept of remote sensing big data. The candidate will work with our researchers at JPL and with researchers at UC Irvine (Earth System Science and Computer Science) under the leadership of Prof. Eric Rignot to develop advanced ways of analyzing these satellite data and learn more about the physical processes controlling ice sheet evolution and subsequent impact on sea level rise.
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Experience working with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, or similar. The Data Engineering team is looking to fill a Senior Data Engineer responsible for designing and implementing ETL/ELT data pipelines, designing and implementing database schema/tables/views, and building batch processes leveraging Airflowfor several projects.
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Design and maintain datawarehouse systems such as big data processing solutions including but not limited to databricks, snowflake etc. Hands-on experience with leading data warehousing and analytics technologies (e.g., Databricks, Snowflake, AWS Redshift, Google BigQuery.
$144,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in streaming, media, or digital marketing domain 3+ years of experience in a Data Engineering role. This Senior Data Engineer will be responsible for partnering with our team members in various activities around data requirements gathering, data validation scripting and review, developing and monitoring ETL/ELT data pipelines, designing and implementing database schema/tables/views, plus deployment across multiple environments such as DEV, QA/UAT and PROD.
$80 - $84.81 an hourFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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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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Leverage integrations with big data frameworks (e.g., Databricks) as needed to develop customer solutions. 2-3 years of experience with Python Data Stack: pandas, numpy, sklearn, tensorflow, pytorch, matplotlib, etc.
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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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What You'll Bring:B.S., M.S. or PhD degree in Computer Science or a related field15+ years of experience in Software Engineering / Data Engineering rolesExperience with Python, Java, Scala or a similar programming languageExperience with Big Data Technologies (Hadoop, Databricks, Snowflake, etc.
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Working with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, or similar. The Data Engineering team (within DDSI) is looking to fill a Senior Data Engineer.
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big data jobs Title: data manager Company: Arrow Electronics Inc in Burbank, CA
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