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Big Data Expertise : 3+ years of hands-on experience with major Big Data technologies and frameworks, including Spark, Hive, ZooKeeper, HDFS, Presto, Hadoop, MapReduce, Tensorflow, and more.
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As the global leader in experience-centric operational analytics, Conviva has redefined big data analytics with our paradigm-shifting Time-State Analytics model. Design the next generation real-time big data processing, storage and analytics engine for stateful metrics, emphasizing scalable, reliable and cost-effective solutions for low latency queries across diverse domains.
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Experience with Databricks for big data processing and analytics is highly desirable. The ideal candidate will possess expertise in EPIC systems, Snowflake, Python, Databricks, Azure, and Workday, and will play a crucial role in designing and implementing data solutions within a healthcare-focused environment.
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Big Data Technology Proficiency: Engage with a range of Big Data technologies, including but not limited to Spark, Presto, Hadoop/HDFS, Hive, and more. Hands-On Customer Engagement: Work directly with customers on intricate deployments, leveraging your expertise in Big Data both on-premise and in cloud environments to maximize the potential of the Alluxio platform.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Work closely with the Analytics Engineering, Business Intelligence, and Data Science teams to support our modern data stack infrastructure (Fivetran, dbt, Snowflake, Thoughtspot, Airflow, AWS, Atlan.
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Do you have prior experience in building data platforms/data lake and analytics SaaS services in the public cloud with expertise in modern Big Data stack (Kafka, AWS MSK, Kafka Admin, Hadoop, Spark, Flink, Hive.
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Experience with multiple big data solutions such as DynamoDB, MongoDB, BigQuery, Databricks, SnowFlake, etc. Develop and lead the technical vision for creating complex data products at scale.
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Experience leveraging big data technologies (Hive/Hadoop) and modern data visualization tools (Tableau, ThoughtSpot, Looker) to blend data from multiple sources to help answer multi-dimensional business questions.
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A proven track record in building and maintaining big data platforms for streaming and batch data processing, data engineering, building backend systems and APIs. Partner with data scientists, data analysts, fraud specialists, infrastructure engineers and product managers to design, build and deliver big data projects and new data platform capabilities.
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We are looking for an experienced data scientist to join our data science team. Capture and translate biological/clinical applications into ML model requirements and design studies to collect data, train, and validate those models.
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Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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Collaborate with backend engineers and data engineers to integrate the frontend application seamlessly with data pipelines and workflows on top of modern data processing technologies such as Apache Spark and Databricks, to support the real-time processing and visualization of large-scale data.
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Tinder’s Analytics Team is looking for a Data Scientist with expertise in Marketing Analytics. 3 years of professional experience with SQL and data visualization tools (e.g., Tableau or Mode) to build tools that surface useful insights, opportunities, and trends for leaders to action on and exploit.
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Our data processing capabilities are powered by Spark, BigQuery and Databricks, handling petabytes of data. Collaborate closely with product owners, software engineers, machine learning experts, and data scientists.
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big data jobs Title: lead in Redwood City, CA
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