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Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka). Proven experience 10+ years as a solution architect or similar role within the marketing technology domain. The Senior Architect within the Comcast Software Engineering is responsible for designing, implementing, and maintaining data architecture solutions to support Consumer and Marketing initiatives and strategies.
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Google Cloud Platform (Data Proc, BigQuery) Data storage and analysis toolsets, including modern distributed technologies such as SparkSQL, Hadoop, Presto, Hive, Kafka, Cassandra, Redshift or other equivalent solutions.
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Experience with big data technologies ( Hadoop, Spark ) and data streaming services (Kafka). Professional certifications related to data architecture (e.g., TOGAF, AWS Certified Solutions Architect) are a plus.
$181,000 - $273,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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In this role, you will work on Products that involve Java, Spring Framework, Spring Boot, Spring Cloud, Microservice Architectures, AWS, REST, JSON, XML, SQL, GraphQL, MongoDB, Oracle, Cassandra, Hadoop, and PostgreSQL, to name a few.
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Experience in Azure and Big Data technologies such as Python, ADLS/Blob, Apache Spark/SparkSQL, Databricks, HDInsight, Hive, Hadoop, file formats like Parquet, and streaming technologies such as Kafka, EventHub, NiFi etc is preferred but not required.
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Implementation of Big Data solutions: using open source and non-SQL technologies such as Databricks, Spark, Spark Streaming, Kafka, Storm, Zeppelin, Scala software development or PySpark. Advanced Analytics: Design and build solutions using technologies such as Azure Data Factory, Azure Data Lake Store, Azure HD Insights (Hadoop Hive, Hadoop Map Reduce, Hadoop Clusters) and Azure Synapse.
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Knowledge and experience with analytics tools and platforms including Apache Spark, Hive, Presto, HBase, Kafka, MongoDB etc. Hands-on with “Big Data” technologies with the Hadoop stack (e.g. Spark,MapReduce, Hive, Streaming) and practical experience that allows you distinguish between the implementation reality and the hype.
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Experience with one or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, Presto) Experience with one or more relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro.
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Knowledge of distributed computing frameworks, such as Apache Spark or Hadoop, for scalable data processing. Experience with data integration tools and technologies, such as Apache Kafka, Apache NiFi, or Informatica.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. AI Solution Architect. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
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2+ years of experience in at least half of the following areas: networking (routing, switching, firewalls, ADCs/LBs, DNS), database (Oracle, PostgreSQL, MS SQL, MongoDB, Cosmos, Hadoop, Redis) and data management technologies, coding (Python, R, Java, Go, Node.js), deployment orchestration tooling (Ansible, Terraform, ARM, or similar), development frameworks (Spring.
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Database administration (preferably with SQL databases like PostgreSQL, SQL Server, Azure SQL, Azure Data Lake): performance tuning, troubleshooting, high availability/disaster recovery, security. Business Intelligence: Combines knowledge ofAzure Fabric - Azure Data Factory, Azure Analysis Services, and Power BI technologies with a deep understanding of data structure/data models to design, develop, and tune BI solutions and reports.
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Strong hands-on programming experience with SQL and be highly proficient in the workings of data technologies (Hadoop, Hive, Spark, Kafka, low latency data stores, Airflow, etc. Wavicle is hiring a Senior Data Solution Architect who operates as a technical leader both within Wavicle and our client engagements.
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Data Engineering technologies ( Ex: Spark, Hadoop, Kafka ) More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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Familiarity with big data technologies and frameworks, such as Hadoop, Hive Spark, Kafka, and NoSQL databases. Join us as a Solution Architect at Mercedes-Benz USA and become a driving force behind our future data products.
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hadoop kafka jobs Title: architect
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