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Experience in developing partner led sales in collaboration with data platform and tool vendorsIn-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc.
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At least 4 years of experience in data engineering working with Big Data Technologies: Apache Spark, Pyspark, Hadoop, and DataBricks with delta lake. Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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Great to haves: Experience with Databricks or S3 based data lakes Experience writing Python or Scala code Exposure to big data tools: Hadoop, Spark, Kafka, etc. As a Senior Data Engineer, you will help evolve our platform (Databricks) and our partner integrations (HubSpot, Iterable, Appcues, etc.
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Experience with big data technologies such as Hadoop, Spark, and Kafka, and cloud-based data platforms such as Amazon Redshift, Google BigQuery, or Azure Synapse Analytics. Proficiency in big data technologies, cloud computing, machine learning, and AI.
$263,408 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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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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Open Source Committer experience (Apache Spark or related Big Data open source technologies) The Data Engineer will design and build highly available, scalable, resilient and fault tolerant distributed real-time data streaming system.
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Experience working with data warehouses and big data tools (e.g., BigQuery, Databricks) Proficient working with ETL/ELT tooling for large data sets (e.g., Airbyte) We are seeking a Data & Software Engineer to join our rapidly growing product and engineering development team.
$93,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Umn.edu/clhss The division of Computational Health Sciences in the Department of Surgery focuses on development of novel data science methods to analyze biomedical big data for advancing health care.
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10+ years of product management or equivalent domain experience preferably with Big Data technologies - leading Data Products and expertise in Digital or eCommerce data/metrics.
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Intermediate SQL skills and an interest in big data, data mining, and process mining. Role: Process Intelligence & Ops Improvement ExpertTarget Level: Senior Consultant or Principal You will enjoy this role if you are a self-motivated, data-savvy professional with a passion for process optimization and the ability to drive consulting services sales.
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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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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
$276,100 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Understand the big picture while diving into the details at the same time. Responsible for maintaining data integrity, including order entry, promise dates for orders, change activity, quotes, forecasts, customer scorecards, etc.
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Experience with big data, analytics, and tools such as SAS, Alteryx, BigQuery or similar. Data Visualization Consultant - Remote. The Data Visualization Consultant supports the business in decision making and service to Prime’s clients by providing business intelligence services.
$111,700 a yearFull-timeRemoteExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Utilizing experience with NLP and text-based extraction techniques;Understanding of how to develop and operationalize data science analytical models so these models can run in an automated context;Understanding of how to map transformation and flow of data from a source to a target system; and,Problem-solving skills and the ability to translate business requirements into data-driven solutions.
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big data jobs in Minneapolis, WY, Ohio
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