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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. Propose, own initiatives and demonstrate though leadership that improve the efficiency and productivity of the data science Center of Excellence.
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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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Implement data processing pipelines using Azure Data Factory, Databricks, Azure Machine Learning, Azure Logic Apps, Azure Function Apps, Azure Kubernetes container and other big data services.
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Experience with data warehouse and big data technologies such as Azure Synapse Analytics, Azure Data Lake Storage, Spark, Kafka, Databricks, and Containers. Support migrating big data workloads like Hadoop to Azure services like HDInsight.
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Automate data platform deployment and configuration using Terraform, ARM templates and Azure DevOps. Automate data platform deployment and configuration using Terraform, ARM templates, and Azure DevOps.
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Skill - Big Data, Spark, SQL, parkStreaming-Kafka-Python / Scala / Java. Experience in Big Data technologies including Spark, Scala and Kafka. Job Title: Big data Developer.
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Architect data analytics solutions on Azure using services like Synapse Analytics, Databricks and Machine Learning etc. Experience with ETL tools such as Azure Data Factory and Databricks.
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus. Implementation experience of Big Data technologies like Hadoop, Spark, Presto, Hive, and Hue will be a major advantage.
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Implement metadata management, data lineage, and auditing capabilities on Azure data platforms using Purview. Migrate on-premises databases and data warehouses to Azure services such as SQL Database, SQL Data Warehouse, etc.
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10+ years of experience in cloud data architecture with a focus on Microsoft Azure. To provide Architecture Solution to Design and implement cloud data solutions on the Microsoft Azure platform.
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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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The company utilizes cutting-edge cloud-based technology, including AI, Robotic Process Automation (RPA), IVA and bots, Actionable Analytics and reports leveraging Big Data, and more. The company utilizes cutting edge cloud-based technology, including automation (RPA), Actionable Analytics, NLP, Chatbots, Big Data and more.
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Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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In-depth knowledge of the Databricks Unified Analytics Platform and its features for collaborative big data analytics. Use of tools like Apache Airflow, ADF, or Databricks to orchestrate and schedule data workflows.
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Design data integration between on-prem and cloud using Azure Data Factory and other tools such as Azure Synapse Analytics. Experience with data analytics tools such as Stream Analytics, Power BI, and Time Series Insights.
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big data jobs Title: data administrator Company: Cognizant Technology Solutions
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