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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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If you are passionate to work with the most valuable asset of an organization – “Data” and “Metadata” - consider applying to the Developer Sr opportunity to join our IT Data Solutions team.
$103,000 - $155,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Joining as Senior Business/Data Analyst, you will be responsible for building and maintaining the sustainable, scalable products and capabilities that support our advisors to deliver world-class services for their investors.
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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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Job Title: Big data Developer. Skill - Big Data, Spark, SQL, parkStreaming-Kafka-Python / Scala / Java. Experience in Big Data technologies including Spark, Scala and Kafka.
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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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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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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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5+ years in designing, solutioning the Snowflake, Databricks and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
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As a Senior Data Architect specializing in Data Discovery, Data Mapping, Data Modeling, Data Quality, Enterprise Information Model adoption, different types of Database Storage Systems involving relational, NoSQL, azure cloud data solutions, and Big Data Analytical Platforms, you will play a pivotal role in designing, implementing, and optimizing our data architecture artifacts to support advanced data initiatives.
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Experience with any of the following tools: AWS Big Data and native tools Matlab Simulink IBM DB2, Oracle, Netezza Unix, Red Hat AWS Solutions Architect DevOps Continuous Delivery Architecture, DevOps Foundations Model-Based Systems Engineering TOAD Proficiency with data mining, mathematics, and statistical analysis desired.
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As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client. Big Data Engineer.
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Experience in Pharmaceutical datasets like patient claims and syndicated data from IQVIA (IMS) and Symphony Health Solutions a big plus. Experience with big data technologies like Hive, Impala, Hue etc.
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Sound knowledge on Snowflake, Databricks, Informatica and other leading Data Products. Preferred Qualifications: Knowledge in enterprise data management architecture and principles, master data management, data governance and data qualityKnowledge in data modernization, Cloud, data migration and digital transformationMBA or master’s degree experience from a top-ranked institution.
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big data jobs Title: senior developer Company: Cognizant
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