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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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We are looking for a Senior Cloud Support Engineer who likes working with data and solving a wide variety of issues utilizing their technical experience having worked on a variety of operating systems, database technologies, big data, data integration, connectors, and networking.
$98,000 - $144,900Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Building these controls requires knowledge of big data techniques, ability to architect systems that can efficiently scale to hundreds of billions of data points per day, machine learning over unstructured and structured data, graph analytics, and experience with building UI for data rich applications.
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Familiarity with using cloud services (AWS, Google, Azure) or Big Data tools (Hadoop, Hive, Spark) in data science solutions. Demonstrable knowledge in artificial intelligence, machine learning, data science, and other relevant technical domains; and possess a blend of advanced analytical capabilities and consulting expertise that will create value and insights for our clients.
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SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, Skilled in the use of data wrangling and visualization tools such as Alteryx and Tableau.
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Experience in providing business solutions which require analytic tools such as R, Python, AWS, and Databricks to build advanced analytic models, and exposure to accessing data from cloud platforms and big data systems.
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You can use Spot Instances for various stateless, fault-tolerant, or flexible applications such as big data, containerized workloads, CI/CD, web servers, high-performance computing (HPC), and test & development workloads.
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Our client is currently seeking an experienced Big Data Engineer for their Midtown office in Atlanta, GA. The successful candidate must have substantial Big Data engineering experience and demonstrate an affinity for working with others to create successful solutions.
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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.
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AWS Solution Architect Professional Certification or AWS Big Data Speciality CertifiedCapital One will consider sponsoring a new qualified applicant for employment authorization for this position.
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Experience working with big data technologies: Apache Airflow, Apache Spark, Apache Kafka, AWS Kinesis, AWS Redshift. Design, develop, and maintain scalable data pipelines with Snowflake, Apache Airflow, dbt (SQL), and Python with AWS services.
$112,000 - $184,950 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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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 processing frameworks such as Apache Spark, Apache Hive, Apache Flink, and Apache Kafka. - Design, implement, and manage ETL pipelines for big data processing in Hadoop and Azure environments.
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Work on complex problems ranging from mathematical proofs to big data processes to fueling research with blockchain, financial, and gaming metrics. Hands-on experience in AWS Cloud services including building and implementing server and serverless data engineering, data science, and analytics infrastructure.
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Role – Big ID Expert Location – Atlanta, GA Type : FTE / FTC RTTO : Day One Onsite Position ID : 335170 Salary: Market Rate Number of Positions: 2 Demand Client: Morgan Stanley (Don’t disclose this to candidates) Points to be noted for this demand: 9+ Experience candidates are required.
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big data jobs in Atlanta, SC, Australia
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