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Leverage Spark, Airflow, Apache Beam, Google Kubernetes Engine, BigQuery and other tools to build robust and efficient data pipelines. Deep experience with data frameworks and tools like Spark, Spark Streaming, Apache Beam, and Airflow.
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Experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing,accessing, and transforming data in a variety of relational databases.
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Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning.
$180,000 - $275,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Snowflake, Cassandra, Aurora.
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Proficiency with Medidata Rave EDC, Clinical Data Repositories and Visualization software. The Clinical Data Manager will be responsible for daily data management tasks for all phases of clinical trials including CRO/vendor oversight and support other functional areas such as clinical operations, statistical programming, and biostatistics.
$130,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Senior Software Engineer with backend / distributed systems / large scale and database/data processing or data streaming centric background and coding skills in at least one of Go, Golang, Python, Java or C.
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This could include Salesforce, Marketo, Intercom, NetSuite, Recurly, and backend entitlement data. 8+ years of professional experience, including data engineering, analytics, business intelligence, data science or comparable fields.
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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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Our primary developer offering is an ultra-performant Data Processing Framework (unified streaming + batch) with a Python API, distributed Rust engine, and capabilities for data source integration & transformation at scale (Kafka, S3, databases/CDC.
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Experience building a data platform, with experience in tooling and services such as Airflow, Spark, Flink, Beam, dbt, Dataflow, BigQuery, Tableau, Looker, or equivalent. Memora Health ingests existing data on clinical workflows, converts them into cohesive messaging journeys that guide patients through their care episodes, and automates the completion of simple follow-up tasks in the EHR. Memora's platform reduces care team notifications by nearly 40%, has an average patient NPS over 70, and improves engagement and clinical outcomes across diverse populations.
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Client's Access Technology and Infrastructure Department (ATI) department is looking for a new Business Systems Analyst to develop, support, and perform ad-hoc analysis using our cloud-based solutions on Amazon Web Services that utilize our internally developed Master Data Management Solution called C3AE (Channel, Contracting, Customer Access.
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We are looking for a Head of Data Science to tackle complex computational questions within the gene-editing space. Lead the Biological Data Science department consisting of a team of computational biologists, bioinformaticians, and data engineers.
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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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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
$232,000 - $313,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In this role, you’ll be embedded in our Commerce organization and work closely with product management as well as other cross-functional partners to help deepen the integration of the Cash App and Afterpay ecosystems and focus on innovative products like Afterpay Plus. In addition to that standard technical and communication skills we target in a Data Science candidate, an understanding of consumer shopping experiences is a huge value add for candidates considering this role.
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data job Title: assistant Company: Focusgroupjobs in South San Francisco, CA
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