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Experience designing and building data-heavy front-end applications. Extensive experience modern front end frameworks (e.g., Vue.js, React. Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
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Experience in architecture & security of AWS EC2, EBS, S3, EKS, Athena, Redshift, RDS, Kafka, Glue, and other data management tools Experience in in design and implementation of granular access to data without losing the speed & agility of delivering the access provisioning.
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You will write backend software using Nest.js (Typescript) to power AirFlow tasks and our front-end API. You will play a lead role with our data engineering team to build out the (very) high scale systems that manage our customers experiments using Big Query, Snowflake, and RedShift.
$200ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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1+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred. The Data Engineer II will contribute to the Company’s success by partnering with business, analytics and infrastructure teams to design and build data pipelines to facilitate measuring subscriber movements and metrics.
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The Cash App Support organization is growing and we are looking for a Data Scientist (DS) to join the team. Advanced proficiency with SQL and data visualization tools (e.g. Looker, Tableau, etc.
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Lambda, Kafka, Airflow, Redshift, S3, Glue, and EMR. 10+ years of experience in data engineering on distributed frameworks such as Spark, Databricks, Kafka Streams, Hadoop etc.
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Experience working with cloud-based data warehouses like Snowflake, Redshift, or BigQuery. Experience with data transformation tooling (dbt is preferred), data pipeline services like Stitch and Fivetran, and orchestration tools like Airflow.
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Ideally background in large dataset management, with familiarity with optimization software (GAMS), Python, and energy systems and/or weather data 3-5 years experience with experience with data mapping/ingestion/pipelines preferred experience with Azure Databricks, SQL, DBT, and DVC3-5 years of demonstrated experience working in technical environment where Agile and DevOps principles were applied.
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Python, Ubuntu, PostgreSQL, jQuery, Django, CSS, HTML5, AJAX, Bootstrap, OpenLayers, Web Development, Front End, Database, Software, Analysis, Agriculture, Cloud, Mobile, Big Data. Solum is developing a cloud and mobile-first software platform that will greatly simplify the transport, storage, analysis, and sharing of precision agriculture data.
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We are open to proficiency in a variety of technologies: SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Cassandra, Aurora, ZooKeeper.
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As Springboard’s Senior Systems Administrator, you’ll maintain Springboard's IT infrastructure, and provide general help desk support including A/V and IT asset management. Springboard is redefining professional education through immersive, online courses in cutting-edge fields like data, design, and software engineering.
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As a Data Science Senior Manager, you will have end-to-end ownership of custom models, algorithms, and other data products that feed directly into TRM’s UX. In collaboration with a highly skilled team of engineers, data scientists, and research scientists, your goal will be to uncover valuable and defensible information that can be used to detect, prevent, and mitigate cryptocurrency fraud and financial crime.
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Our team leverages cutting-edge open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg to build and maintain a scalable, high-quality data ingestion framework.
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Leverage your advanced skills in Python and SQL and with platforms like Databricks and AWS to build highly scalable data pipelines and warehouses. Join us to develop and build a new healthcare data and analytics platform to support value-based care contract design and measurement.
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The trials also involve real world evidence generation, patient reported outcomes (PROs) and analysis of complex big data sets. Master’s degree in Data Science, Mathematics, Statistics, Biostatistics, Bioinformatics, Biological Sciences, or related discipline.
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data receptionist front desk jobs Company: Michigan Institute Of Urology in Alameda, CA
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