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Design and develop data ingestion programs to process large data sets in Batch mode using Hadoop, Spark, Azure Synapse, and Databricks. Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies.
$227,900 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience. 3+ years of experience leveraging the modern data stack, including workflow orchestration tools like Airflow, data management solutions, and open-source technologies for querying and managing open table formats (e.g. Iceberg, Hudi.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing, and curation: Kafka, StreamSets, Qlik/Attunity, GoldenGate, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Minimum of 7 year’s of experience years of experience in Big Data/Hadoop, database and data warehouse architecture and delivery. You will have an opportunity to work in roles such as Cloud Data Engineer, Data Modeler or Data Architect covering all aspects of Data including Data Management, Data Governance and Data Migration.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Solid understanding of ETL methodologies in a multi-tiered stack, integrating with Big Data systems like Hadoop and Cassandra. Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions.
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Experience in the development of Hadoop APIs and MapReduce jobs for large scale data processing. Good knowledge in apache Kafka & Apache Flume. Strong understanding & familiarity with all Hadoop Ecosystem components and Hadoop Administrative Fundamentals.
$227,900 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Define and develop client specific best practices around data management within a Hadoop environment or cloud environment. Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms.
$227,900 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Data Engineering technologies (e.g., Spark, Hadoop, Kafka) Our customers rely on our Solutions Architect team to understand the technologies that power our platform, the broader cloud and technology ecosystems, and how they can all be brought together to solve these problems.
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Extensive hands-on experience implementing Lakehouse architecture using Databricks Data Engineering platform, SQL Analytics, Delta Lake, and Unity Catalog. Minimum of 4 year’s of experience in Databricks engineering solutions on one of the Cloud platforms (Azure, AWS or GCP.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Extensive hands-on experience implementing serverless real-time/near real-time architecture using Cloud native services (i.e., Azure, AWS or GCP Tech Stack), and Spark technologies (e.g., Spark Streaming, Spark ML.
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Experience in data governance fields as lineage, quality, catalog etc. Cloud data migration methodologies and processes including tools like Azure Data Factory, Event Hub, etc. Minimum of 4 year’s of experience in Data Architecture and delivery experience on one of the Cloud platforms (Azure, AWS or GCP.
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Practical experience on Cloud (AWS) and Big Data with (Hadoop, Cassandra, Kafka) As a Senior Lead Architect at JPMorgan Chase within the Consumer and Community Banking Data Platform team, you are an integral part of a team that works to develop high-quality architecture solutions for various software applications and platforms products.
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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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Big Data Technologies: Apache Spark, Hadoop, Kafka. Data Warehousing: Data Bricks, Snowflake, Amazon Redshift, SAP HANA. Big Data Technologies: Apache Spark, Hadoop, Kafka. Drives to exceed expectations in alignment with our BFS SPICE values.
$190,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Certifications: Lakehouse Fundamentals, Developer Foundations Capstone, Developer Essentials Capstone, etc. Familiarity with Networking, Windows/Linux virtual machines, Container, Storage, ELB, auto-scaling is a plus.
Full-timeExpandApply NowActive JobUpdated 17 days ago
hadoop kafka jobs Title: architect
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