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Experience with GCP products such as BigTable, BigQuery, Dataproc, PubSub or other data tools like Kafka, Hive, or Apache Beam. Project categories: besides product requests and enhancements, we work on projects in performance and cost optimization, security and legal compliance, reliability and quality initiatives, as well as architectural refreshes such as POC in restructuring our data to be more streaming/real time friendly, new REST API for relevant services, migration of apps to Spark, Parquet, and other new technologies that could make our processing faster, more scalable, maintainable and cost effective.
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Experience with big data technologies and platforms such as Hadoop, Spark, AWS, CGP, or Snowflake. The ideal candidate will have a solid background in machine learning and statistical modeling, The Lead AI/ML Engineer will play a key role in developing and implementing data-driven strategies to improve lead generation and lead scoring, customer segmentation, and marketing automation activities.
$215,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Apache Spark™ : Develop the de facto open source standard framework for big data. Experience with distributed systems, databases, and big data systems (Apache Spark™, Hadoop.
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Exposure to big data platforms - Snowflake, Redshift, Azure, Matillion, Hadoop. You have a strong background in data quality management and are experienced with SaaS and/or digital sales metrics.
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Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage.
$150,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
$242,830 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Improve our tools for data analytics, visualization, governance, and lineage (e.g. Databricks, Redash, Amundsen, Marquez, etc.) From distributed data processing with Apache Spark to full stack web development on the Experimentation UI, to building and maintaining Kubernetes applications, you’ll have the opportunity to wear many hats and create outsized impact.
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Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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As a Quantitative Analyst at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in cloud computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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The Risk Data Science team is looking for a Senior Staff Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various credit risk areas at SoFi. The Senior Staff Data Scientist will work closely with Credit Risk, Product, Engineering teams to design solutions for loss mitigation and loss forecasting.
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Forms of data-based insights using multiple tools including Workday, Gem, Visier, Looker, Excel and Sheets. Build relationships with relevant internal stakeholders, including Recruiters, HRIS, Finance, People Analytics, and others to ensure alignment and proactive delivery of relevant TA data and analyses.
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The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day. Advanced proficiency with SQL and data visualization tools (e.g. Mode, Tableau, etc.
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By applying, you consent to your information being transmitted by Jobcase to the Employer, as data controller, through the Employer’s data processor SonicJobs. Utilizes research data to implement clinical changes and the delivery of patient care and member services.
$195,700 a yearExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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OCI Data Services has a strong portfolio of OLTP Services, such as, PostgreSQL, Redis, Aries Storage Platform for ADB-S. The key priorities include - driving large customer adoption; critical features like Cross-Region Replication, Extensibility of PSQL (Vector, Timescale, GIS ; New PSQL versions; Rapid build out of data services in new regions; Strategic initiatives like multi-cloud support and Operational Excellence to handle disruptive events.
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MySQL, PostgreSQL, Mongo DB, RDS, DB2), Big Data systems (ex. Created Big Data pipelines (ETL) from on-premises to Data Factories, Data Lakes, and Cloud Storage such as EBS or S3.
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big data jobs Company: Travelnursesource in San Francisco, CA
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