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What you’ll be responsible for:As a member of the Data Engineering - Business ETL team, you own the ETL/ELT pipelines and data warehouse that is used for financial and regulatory reporting.
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Our engineering team at OpenSea is in search of a strong, driving, but curiousData Engineer to take charge of our data replication, ETL, and warehousing infrastructure to empower our core user experiences, trust & safety models, and business intelligence use cases.
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CI/CD orchestration (Jenkins, CircleCI, or TravisCI)ETL, data modeling, cloud-based data storage, processingGCP Data Services (Dataflow, BigQuery, Dataproc)Workflow and data pipeline orchestration (Airflow, Oozie, Jenkins, etc)Container orchestration technologies (Kubernetes, OpenStack, Docker swarm, etc)Open source software involvementMonitoring/Logging with technologies like Splunk, ElasticSearch, Logstash/Fluentd, Stackdriver, Time-series databases like InfluxDB etc.
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Design and build highly-efficient and scalable ETL pipelines with Snowflake, Airbyte, dbt, and Prefect. We're looking for a Senior Software Engineer passionate about tackling big data challenges in the next-generation data clouds.
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3+ years of experience in ETL/ data integration is required with 2+ years of experience in Dell Boomi or similar technology. Experience using ETL tools to migrate data from various sources and targets including databases, flat files, XML files, Snowflake, NetSuite and other SaaS applications, Boomi preferred.
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Experience with Databricks, Reverse ETL. At least 5 years of experience in data science, machine learning, and statistical modeling. Strong understanding of statistical concepts and machine learning algorithms.
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Experience with data warehousing, ETL/ELT processes, and data integration platforms (i.e., Airflow, MuleSoft, SnapLogic). The Opportunity:The Digital Imaging (Photoshop and Lightroom) Data Science Team is looking for a seasoned Data Engineering Manager who is passionate about data and driving the direction of products that allow millions of people bring their creativity to light.
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Data movement (real-time replication or ETL/ELT), multiple clouds (AWS, Azure Google, Alibaba), cloud analytics destinations (Snowflake, Databricks, Kafka, RDS, Synapse, BigQuery, etc.) Experience as a data analyst, data engineer, data scientist, or software engineer.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Looking for a Data Engineer who possesses the following skills: data warehouse design and development, Spark ETL/ELT development, Airflow DAG development, and data mapping and analytics.
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Programs on 5G, quantum computing, artificial intelligence, deep learning, quantum computing and from artificial intelligence and deep learning to cyber. programs on 5G, quantum computing, artificial intelligence, deep learning.
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Working knowledge of ETL/ELT/data pipeline development, using industry-standard tools such as Talend. Google Cloud Platform (Data Proc, BigQuery) Data storage and analysis toolsets, including modern distributed technologies such as SparkSQL, Hadoop, Presto, Hive, Kafka, Cassandra, Redshift or other equivalent solutions.
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Familiarity with “modern data stack” tools and technologies, such as Databricks, Airflow, DBT, and Reverse ETL. You will build efficient, modular, flexible, and reliable datasets that can unlock insight for stakeholders across the business — whether for analytic, machine learning, or operational purposes.
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We were founded in January 2016 by former executives and engineering leaders from Google and Uber. We are funded by some of the world's best investors and entrepreneurs including Founder's Fund, Khosla Ventures, First Round Capital, Eric Schmidt (Google/Alphabet Chairman), Marc Benioff (Salesforce Founder), Joe Lonsdale (Palantir Founder), Joshua Kushner (Oscar co-Founder) and Garrett Camp (Uber co-Founder).
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Hands-on and implementation centric DataOps expertise across several Azure tools and servicesProven experience as a data engineer or similar role, with a focus on cloud-based data engineering and ETL processes.
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Machine Learning is an integral part of how we design products, operate, and pursue Cash App’s mission to serve the unbanked as well as disrupt traditional financial institutions. 3+ years of experience in machine learning, data analysis, or a related field.
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etl job Title: machine learning engineer Company: Advantis Global in San Francisco, CA
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