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Our transportation client is looking for a Big Data Engineer - Spark/Databricks to join their team. Experience with real-time data processing and streaming techniques using Spark structured streaming and Kafka.
$65 - $70 an hourExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Data Management: Snowflake, Databricks, Big Query. Data Transformation: DBT, Airflow, Talend, Alteryx. Business Intelligence: Qlik, Domo, PowerBI, Tableau (focus on admin, data pipelines, and light development.
$90,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our client is currently seeking an experienced Data Engineer – Big Data individual for their Midtown office in Atlanta, GA. The successful candidate must have Big Data engineering experience and must demonstrate an affinity for working with others to create successful solutions.
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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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Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
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Hands on experience on Machine Learning, Artificial Intelligence, and/or Big Data. Experience with data visualization in Power BI, SSRS, or other comparable tools. Knowledge of data base management systems such as Oracle, SQL Server or MySQL.
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Experience with big data technologies such as Databricks, Spark, SparkR. The ideal candidate will be skilled in statistical analysis, machine learning, and leveraging Azure technologies in big data to drive significant business impact.
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Solid experience implementing data lineage, data quality and data observability for big data workflows. Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka.
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The Senior Data Platform Developer, Infrastructure supports the existing big data infrastructure on Google Cloud Platform, Google BigQuery ensuring data is continuously and promptly available for analysis by the data science team.
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Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
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The Senior Data Scientist (Adobe Practice) will work hands-on with Machine Learning and Big Data technologies within the Adobe Marketing Cloud (e.g., Adobe Journey Analytics) and third-party tools (e.g., Databricks, R) to build scalable machine learning data products and solutions.
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Solid fundamentals with HTML/CSS.Web development experience, especially with JavaScript (Node.js, Vue.js, React), or Python (Flask)Experience with big data techniquesExposure to Agile software development methodology.
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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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Experienced in Bulk Data Upload/Migration Strategy from Legacy System to Oracle CPQ Cloud using Oracle CPQ Cloud APIs. Key skills: Oracle CPQ Big machines, technical development experience.
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big data jobs in Atlanta, Columbia, Missouri
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