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C-UAS - Big data analyst. Expert understanding of MS Office, Excel, SQL, or other data visualization tools and big-data analytic techniques for structured and unstructured data.
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Warehousing: Experience in Snowflake Data Cloud, SQL Server, Azure, AWS Redshift, Google Big Query. Data Architect who will closely work with Business Analysts in-order to design and develop the One-BI data warehouse which will be used as Enterprise-wide reporting system.
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Responsible for day-to-day Onshore - Offshore service delivery operations for Big Data, Cloud, Middleware Integration, SNOWFLAKE, Databricks applications. Experience with Customer support service delivery for Integration Big Data, Cloud, Middleware Integration, SNOWFLAKE, Databricks technology environments.
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Experience with Big Data Technologies (NoSQL databases, Hadoop, Hive, Hbase, Pig, Spark, Elasticsearch, Databricks, etc.) Experience with a breadth of Data Integration tools, Databases, Big Data Platforms, Cloud-based data platforms and Data Streaming technologies, Cloud Azure and GCP platforms.
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Develop, debug and support applications and data pipelines for big data analytics platforms in Azure Databricks, Kafka, Neo4j. Demonstrated analytical and problem-solving skills, particularly those that apply to a "Distributed Big Data Computing" environment.
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Need a Big Data Engineer who has solid experience with Azure, Databricks and Data Warehousing. ABC has built a world class platform in Azure using Data Lake, Databricks and Snowflake.
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Possess Data Warehousing principals and architecture patterns to help build reporting data marts in Oracle, Big Data platforms: Hadoop and Cloud data bases eg: Snowflake/Red Shift Experience and working knowledge in extracting data from traditional data warehouse, big data ecosystems and cloud data warehouses to produce critical data for business analyst executives and operational leaderships.
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Experience with orchestration tools such as Airflow, Dagster, or Prefect, with big data tools such as Kafka & Spark, and with dbt. The Data Engineering Manager will support our data initiatives and will ensure an optimal data delivery architecture that is consistent throughout ongoing projects.
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Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics. Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP.
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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.
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Proficient in Python/R, PyTorch/TensorFlow, SQL, Big Data and cloud technologies. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Big Data: Azure Stream Analytics, Azure HDInsight, Amazon E lastic Map Reduce (EMR) , AWS Athena, Apache Spark, Hadoop, Hive. Advance Analytics: Python, R Studio, Data R obot , DataBricks MLflow , AWS Sagemaker, Azure Machine Learning Studio.
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As a data architect, you will focus on the big picture of an organization’s data strategy. We are open to proficiency in a variety of technologies: SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Cassandra, Aurora, ZooKeeper.
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Proven experience in data engineering, data visualization, and big data processing. o Proficiently design, develop, and maintain data pipelines using the Palantir Foundry tool suite, including apps like Slate, Workshop, Contour, Taurus, Ontology Manager, Object View, and Report.
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Big Data Expertise : 3+ years of hands-on experience with major Big Data technologies and frameworks, including Spark, Hive, ZooKeeper, HDFS, Presto, Hadoop, MapReduce, Tensorflow, and more.
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big data jobs Title: data manager Company: Jobget
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