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In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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AWS, Python, SQL, Terraform, Airflow, Docker, Kafka, AI, Data Platform, Start-Up, Data Engineering, GenAI. You will build out the AWS-based cloud infrastructure using Python, Docker, Terraform, Kafka, Airflow and SQL.
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Preferably with Hadoop stack: HDFS, Hive, SQL, Spark, Spark Streaming, Spark SQL, HBase, Kafka, Sqoop, Atlas, Flink, Kafka, Cloudera Manager, Airflow, Impala, Hive, HBase, Tez, Hue, and a variety of source data connectors.
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Open-source frameworks and tools (Apache Kafka, Hashicorp Consul, Docker, Kubernetes, Angular + Node.js, OpenStack, etc) Apache Kafka has quickly become the backbone of event driven architecture at Bloomberg and the main data bus for data distribution, live streaming, and general purpose messaging.
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Experience with one or more SQL-on-Hadoop technology (HIVE, Presto, Spark SQL, Databricks) and Hadoop ecosystem. Expert Relational database concepts and experience across multiple database technologies (e.g., SQL, NoSQL, Oracle, Hadoop, Postgres) environments.
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5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) Create information solutions covering data security, data privacy, metadata management, multi-tenancy and mixed workload management across Hadoop and NoSQL platforms, spanning on-premise and Cloud based deployments.
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Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.
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Rust or Python, Kubernetes configuration, Jenkins scripting Familiarity with Java Unsafe memory access model Big Data experience – prefer Hadoop with PIG or Hive; NoSQL, Mongo DB experience Tick Database and Market data/Complex Database streaming understanding; Complex Event Processor experience Experience with Chromium Engines, HTML5 and Angular or React Javascript libraries Rasool Shaik, Talent Acquisition Lead at PruTech Solutions, Inc.
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Open-source technologies like Cassandra, ElasticSearch, Spark, Kafka, Kubernetes, Flink. As a Software Engineer on infrastructure, you'll contribute high-quality code to underpin Palantir Foundry and Gotham with performant, secure, and scalable building blocks, enabling products deployed to the most important institutions in the public and private sector.
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Hands-on experience in developing scalable data pipeline using technologies like Kafka, Databricks, Spark and Scala applying ETL and ELT concepts. 3+ years of Expertise in building application using Kafka, Golden Gate etc.
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AWS (Redshift, Aurora, Glue), Google (BigQuery), MongoDB, Cassandra, Snowflake, Teradata, Oracle Exadata, IBM Netezza, SAP (HANA, BW), Apache Hadoop & Spark, MapR, Cloudera/Hortonworks, etc. Certifications with Azure Data Engineer, Azure AI Engineer or equivalent industry certifications.
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Skills Required: Requires experience in the following: Agile SDLC; Application Architecture Disciplines; Microservices; Apache Kafka; J2EE; Jenkins; Spring; Hibernate; Java; Javascript; Python; SQL; REST; SOAP; Maven; JSON; Dynatrace; Splunk; GIT; Cucumber; Junit; Automated Testing; Manual Testing; Regression Testing; System Integration Testing; and Unit Testing.
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4-5 years experience in an analytical role in a digital media environment 4-5 years’ experience with SQL framework and query scripting (Google Cloud Platform, MySQL, PostgreSQL, Hive/Hadoop experience) Experience with ad serving solutions such as DFP, Atlas, etc.
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Job Req ID: 24925 About Supermicro: Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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hadoop kafka jobs Title: principal software engineer in New York, NY
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