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Experience working with Cloud Datawarehouse like Snowflake, Google Big Query, Amazon Redshift. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Cloud Integration ETL Tools, Cloud Data Warehouse, SQL, DBT, AWS Services Lambda, SNS, SQS, Event Bridge, and IoT core.
$76 an hourExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Approximately 8-10 years in designing developing and implementing data and analytics strategies and solutions including data management, quality management, master data management, big data, AI, ML, IoT, and other emerging technologies.
$325,800 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Proven experience with Big Data & ETL tools like Databricks, Hadoop, AWS Glue. Strong understanding of data, data modeling and database methodologies and architecture disciplines.
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Familiarity with cloud platforms (e.g., AWS, Google Cloud) and big data technologies (e.g., Hadoop, Spark). Experience with machine learning frameworks (e.g., TensorFlow, scikit-learn) and data visualization tools (e.g., Tableau, Power BI.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Assisting in the strategy and implementation of Artificial Intelligence, Data Science, Big Data, and modern Information Management. EY delivers unparalleled service in big data, business intelligence, and digital analytics built on a blend of custom-developed methods related to customer analytics, data visualization, and optimization.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Immediate need for a talented Senior Big Data Engineer with experience in the Telecom Industry. Experience with big data tools: Hadoop, Spark, Kafka, etc. As part of an agile team, design, develop and maintain an optimal data pipeline architecture using both structured data sources and big data for both on-premise and cloud-based environments.
Full-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Big Data Engineer hybrid with AWS. Big Data Engineer with AWS need locals 10+ years must. Basic familiarity with big data technologies, including Apache Hadoop, HDFS, and SQL/NoSQL querying.
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We are currently seeking an experienced Python Data Engineer to join the Big Data and Advanced Analytics department. As part of the Data Engineering team, the Lead Python Data Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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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.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) The data scientist will be part of a management consulting and data science team that performs analysis on client data and assists with the development, implementation and integration of pioneering solutions using different methods, techniques and tools.
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Should desirably have knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering, XGBoost), statistical programming languages (SAS, R, Python, Matlab), big data tools and platforms (Hadoop, Hive, etc.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Tool Expertise -Python, R, SQL, SAS Good To Have Experience in working on Big data, Cloud, Hadoop, Spark, End to end deployment. we are looking for a Senior Data Scientist to help drive actionable insights using artificial intelligence and machine learning algorithms.
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Experience with big data technologies and frameworks, such as Apache Spark or Hadoop, enriching the skill set for handling large-scale data processing and analytics tasks. AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Data Analytics – Specialty), demonstrating a deep understanding of AWS cloud services and best practices.
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Fluency in big data technologies such as Databricks and cloud Machine Learning frameworks like AzureML. Comfortable in building data visualization applications using PowerBI, Spotfire, Bokeh, Plotly.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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We are currently seeking an experienced Data Scientist to join the Big Data and Advanced Analytics department. Participate in strategic planning discussions around optimizations, data science and big data analytics.
Full-timeExpandApply NowActive JobUpdated 1 month ago
big job Title: data in Houston, DC, Canada
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