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Exposure to big data platforms, such as Snowflake, Redshift, Azure, Matillion, Alteryx. You will work with complex data, measure and benchmark campaign performance, design and run experiments to evaluate campaign effectiveness, and play a critical part in continuously optimizing the omni-channel campaign strategies in all stages of customer journey worldwide.
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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 12 days ago - UpvoteDownvoteShare Job
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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.
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Proficiency in using Databricks and Apache Spark for big data processing and machine learning. As a Lead AI ML engineer at Burq, you will play a crucial role in designing, developing, and deploying machine learning models and data pipelines.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Or Scala, and experience working with modern web frameworks like React, Angular, or Vue.js. Experience in developing and Maintains application on Palantir Foundry Platform. Participate in architectural discussions, technology evaluations, and solution design sessions to shape the long-term technical vision of Palantir's products.
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Knowledge of Big Data technologies (e.g. Superset, HBase, Spark, Elasticsearch) Architect our big data ZMP Attribution platform. Familiar with NoSQL databases such as Aerospike, data warehouses such as Snowflake/ ClickHouse/Redshift.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Insightful experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture. For example, reconciliation using Big Data technologies, growing and optimizing customer payments options, tax calculations in milli-second response times and a mesh of supplier payment options like virtual credit cards.
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Position Overview: As the Lead Big Data Engineer, you'll be at the forefront of our big data engineering efforts, leading a team of talented engineers to design, build, and maintain our big data infrastructure and pipelines.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Nice to haves Experienced in selling custom software development, Cloud Migration (GCP, AWS, Azure), IT consulting, or digital transformation; Expertise in one (or more) of the industries: FinTech, HealthCare, eCommerce, Big Data, or other; Experience with selling global technology services (Latam, Europe, India etc.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization.
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Experience with 'big data' platforms esp. At least 5 years experience with data modeling concepts in relationship and non-relational data stores (i.e. normalization, inheritance, relationships.
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Experience with big data tools (Spark, Flink, Hadoop) With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.
$284,614 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Whether it is developing new world-class compensation policies, diving deep into market research, analyzing big data and benchmarking. - Lead benchmarking compensation structure, ensuring we have data and processes in place to stay competitive with the market in all global locations.
$500,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Nor will Cloud Big Data Technologies require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
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big data jobs Title: lead in South San Francisco, CA
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