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Direct Client - Sr Lead Data Engineer Apache Spark, Spark Core, Spark SQL, Spark Streaming. In-depth knowledge of the Databricks Unified Analytics Platform and its features for collaborative big data analytics.
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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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Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT. Expert in using SQL for data analysis, reporting, and dashboarding.
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Experience with big data technologies ( Hadoop, Spark ) and data streaming services (Kafka). Strong knowledge of various database technologies ( SQL, NoSQL ), data integration (ETL/ELT application integration.
$181,000 - $273,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiar with one or more open-source big data systems, including HDFS, Yarn, HBase, Hive, Spark, Flink, Presto, Kubernetes, etc. Develop, scale and improve in-house/cloud and open-source big data systems for storage and resource management (e.g. HDFS, HBase, Yarn, Kubernetes, EMR, EKS, etc.
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Significant experience writing programs to analyze human performance and runner perception data is strongly preferred (Python, SQL, MATLAB, KNIME, Qualtrics). M.Sc. in Computer Science, Data Science, or related engineering field with an emphasis in biomechanics (Kinesiology, Physiology, Exercise Science, etc.
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Proficiency in SQL and experience with data visualization tools like Tableau, Looker, or similar. Bonus points if you have High familiarity with data platforms and applications like Databricks, Jupyter, Snowflake, Airflow, FiveTran, DBT.Previous experience in Sales and GTM analytics, showcasing a strong business sense.
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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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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Experience with GCP data engineering tools (data proc, big query, Google Cloud Storage) and database administration. Technical expertise in data mining (SQL, Google BQ/Hadoop), statistical analysis (R or similar) and data scripting languages (Python.
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Under close supervision, the Research Scientist will: 1) utilize various sources of large datasets such as retinal imaging data, US Census, Medicare Claims data, UK Biobank data for Big Data research in Ophthalmology; and 2) analyze various sources of Big Data datasets using traditional statistics and machine learning approaches.
$3,667 - $6,000 a monthFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are adding privacy features to Apache's big data ecosystem (Spark, Hive Presto), and building world-class data security & privacy framework for big data tech stack.
$175,750 - $266,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expert knowledge of Big Data and AWS concepts (Lambda, S3, EC2, EMR, Spark) Foursquare’s flexible building blocks include technology to maximize marketing impact and drive incremental real-world engagement (Attribution, Audience, Proximity, SDK); data to deeply understand points of interest and real-world behavior patterns (Places and Visits), and tools to conduct advanced analysis, data enrichment, unification and visualization (Studio.
$124,000 - $204,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This will require the finance team to leverage enhanced data modeling and reporting via systems such as Planful (Blue Origin’s Financial Planning tool), Tableau, SQL applications and Costpoint (Accounting system.
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Advanced knowledge of SQL, comfortable and writing and debugging SQL queries and extracting from and querying large and diverse databases (e.g. Azure Databricks, Snowflake, Teradata, MS SQL server.
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